Overview

Dataset statistics

Number of variables307
Number of observations878
Missing cells127509
Missing cells (%)47.3%
Total size in memory2.1 MiB
Average record size in memory2.4 KiB

Variable types

Categorical165
Numeric141
Unsupported1

Alerts

DSMIV_pré_fluox has constant value "10.0" Constant
Diagnóstico_clinico_4 has constant value "Atraso linguagem expressiva" Constant
Diagnóstico_clinico_4_Copy has constant value "Macrocefalia " Constant
Reav_WISCIII has constant value "S" Constant
Code has a high cardinality: 878 distinct values High cardinality
ADIRdata has a high cardinality: 666 distinct values High cardinality
ADOS_data has a high cardinality: 541 distinct values High cardinality
AGP/TASC_código has a high cardinality: 274 distinct values High cardinality
Avô_e_Avó_com_psicopatologia_e_ou_P_DPM has a high cardinality: 70 distinct values High cardinality
Capacidade_Especial has a high cardinality: 68 distinct values High cardinality
Karyotype_Result has a high cardinality: 181 distinct values High cardinality
Concelho has a high cardinality: 233 distinct values High cardinality
BD has a high cardinality: 822 distinct values High cardinality
DataQDQI has a high cardinality: 687 distinct values High cardinality
DataVineabr has a high cardinality: 689 distinct values High cardinality
Data_Reav_Griffiths has a high cardinality: 262 distinct values High cardinality
Observation_Date has a high cardinality: 745 distinct values High cardinality
Diagnóstico_etiológico_3 has a high cardinality: 74 distinct values High cardinality
Dismorfismos_Especificar has a high cardinality: 58 distinct values High cardinality
Doenças has a high cardinality: 119 distinct values High cardinality
Est has a high cardinality: 82 distinct values High cardinality
Est._P has a high cardinality: 224 distinct values High cardinality
Estatura_(ALTA) has a high cardinality: 52 distinct values High cardinality
Incidentes has a high cardinality: 174 distinct values High cardinality
Internamentos_História has a high cardinality: 92 distinct values High cardinality
Irmão_A_DN has a high cardinality: 516 distinct values High cardinality
Irmão_B_DN has a high cardinality: 131 distinct values High cardinality
Medicação_actual has a high cardinality: 144 distinct values High cardinality
Motivo_Consulta has a high cardinality: 185 distinct values High cardinality
Mãe_DN has a high cardinality: 680 distinct values High cardinality
Mãe_profissão has a high cardinality: 232 distinct values High cardinality
Nome_escola has a high cardinality: 643 distinct values High cardinality
Notas_Evolução has a high cardinality: 67 distinct values High cardinality
Outros_exames_S_resultados has a high cardinality: 379 distinct values High cardinality
Pai_DN has a high cardinality: 680 distinct values High cardinality
Pai_profissão has a high cardinality: 305 distinct values High cardinality
Primeira_consulta_autismo-desenv. has a high cardinality: 773 distinct values High cardinality
Primos_com_psicopatologia_e_ou_P_DPM has a high cardinality: 108 distinct values High cardinality
Problemas_Outros has a high cardinality: 69 distinct values High cardinality
Problemas_Perinatais_e_neonatais has a high cardinality: 98 distinct values High cardinality
Problemas_Quais has a high cardinality: 211 distinct values High cardinality
Problemas_alimentares has a high cardinality: 57 distinct values High cardinality
Problemas_do_sono has a high cardinality: 60 distinct values High cardinality
Quais_alterações_genéticas has a high cardinality: 118 distinct values High cardinality
Quais_terapias has a high cardinality: 157 distinct values High cardinality
RMN_resultado has a high cardinality: 52 distinct values High cardinality
Tios_com_psicopatologia_e_ou_p_DPM has a high cardinality: 85 distinct values High cardinality
WISCIII_Data has a high cardinality: 248 distinct values High cardinality
ABcut-off_PEA has 216 (24.6%) missing values Missing
ABcut-off_autismo has 215 (24.5%) missing values Missing
ADIR has 42 (4.8%) missing values Missing
ADIR_AbDev has 87 (9.9%) missing values Missing
ADIR_Soc has 76 (8.7%) missing values Missing
ADIR_C_7 has 445 (50.7%) missing values Missing
ADIR_C_8 has 509 (58.0%) missing values Missing
ADIR_RRB has 77 (8.8%) missing values Missing
ADIR_quot has 68 (7.7%) missing values Missing
ADIR_idade_meses has 99 (11.3%) missing values Missing
ADIRdata has 99 (11.3%) missing values Missing
ADOS has 33 (3.8%) missing values Missing
ADOS_data has 209 (23.8%) missing values Missing
ADOS_idade_ has 209 (23.8%) missing values Missing
ADOS_Sev has 205 (23.3%) missing values Missing
ADOScomunicação_A has 212 (24.1%) missing values Missing
ADOSinteracção_B has 212 (24.1%) missing values Missing
ADOSmódulo has 205 (23.3%) missing values Missing
AGP/TASC_código has 604 (68.8%) missing values Missing
Acidos_Orgânicos_Resultado has 274 (31.2%) missing values Missing
Acut-off_PEA has 226 (25.7%) missing values Missing
Acut-off_autismo has 225 (25.6%) missing values Missing
Agendamento_reav._Griffiths has 874 (99.5%) missing values Missing
Agregado_Meio has 775 (88.3%) missing values Missing
Alcool has 34 (3.9%) missing values Missing
Aminoácidos_urinários_Resultado has 389 (44.3%) missing values Missing
Walk_Age has 9 (1.0%) missing values Missing
Ano_lectivo has 95 (10.8%) missing values Missing
Apgar_1 has 268 (30.5%) missing values Missing
Apgar_5 has 76 (8.7%) missing values Missing
AplusB has 206 (23.5%) missing values Missing
Apoio has 162 (18.5%) missing values Missing
Ari_WISCIII has 653 (74.4%) missing values Missing
Ari_WPPSIR has 863 (98.3%) missing values Missing
Asperger has 366 (41.7%) missing values Missing
PMD_Delay has 34 (3.9%) missing values Missing
Audition has 38 (4.3%) missing values Missing
Avô_e_Avó_com_psicopatologia_e_ou_P_DPM has 721 (82.1%) missing values Missing
Bcut-off_PEA has 226 (25.7%) missing values Missing
Bcut-off_autismo has 225 (25.6%) missing values Missing
CG_WISCIII has 649 (73.9%) missing values Missing
CG_WPPSIR has 864 (98.4%) missing values Missing
CO_WISCIII has 650 (74.0%) missing values Missing
CO_WPPSIR has 863 (98.3%) missing values Missing
VABS_Aut has 285 (32.5%) missing values Missing
VABS_Com has 285 (32.5%) missing values Missing
CP_Global_Vin has 287 (32.7%) missing values Missing
CP_Motricidade_Vin has 690 (78.6%) missing values Missing
VABS_Soc has 283 (32.2%) missing values Missing
Capacidade_Especial has 252 (28.7%) missing values Missing
Cariótipo has 83 (9.5%) missing values Missing
Karyotype_Result has 94 (10.7%) missing values Missing
Cb_WISCIII has 647 (73.7%) missing values Missing
Cd_WISCIII has 648 (73.8%) missing values Missing
Com_WISCIII has 654 (74.5%) missing values Missing
Com_WPPSIR has 863 (98.3%) missing values Missing
Consanguinidade has 18 (2.1%) missing values Missing
Controle_Esfincteres_Dia has 173 (19.7%) missing values Missing
Controle_Esfincteres_Noite has 277 (31.5%) missing values Missing
Currículo has 428 (48.7%) missing values Missing
D.R.E. has 212 (24.1%) missing values Missing
DG_WISCIII has 649 (73.9%) missing values Missing
DSMIV has 207 (23.6%) missing values Missing
DSMIV_A has 252 (28.7%) missing values Missing
DSMIV_B has 251 (28.6%) missing values Missing
DSMIV_C has 258 (29.4%) missing values Missing
DSMIV_pré_fluox has 877 (99.9%) missing values Missing
DataQDQI has 106 (12.1%) missing values Missing
DataVineabr has 73 (8.3%) missing values Missing
Data_Reav_Griffiths has 600 (68.3%) missing values Missing
Data_Reav_WISCIII has 876 (99.8%) missing values Missing
Observation_Date has 38 (4.3%) missing values Missing
Diagnostico_qual has 827 (94.2%) missing values Missing
Secondary_Diagnosis has 35 (4.0%) missing values Missing
Clinical_Diagnosis has 831 (94.6%) missing values Missing
Diagnóstico_clinico_4 has 877 (99.9%) missing values Missing
Diagnóstico_clinico_4_Copy has 874 (99.5%) missing values Missing
Diagnóstico_etiológico_1 has 731 (83.3%) missing values Missing
Diagnóstico_etiológico_2 has 753 (85.8%) missing values Missing
Diagnóstico_etiológico_3 has 797 (90.8%) missing values Missing
Dysmorphysm has 46 (5.2%) missing values Missing
Dismorfismos_Especificar has 784 (89.3%) missing values Missing
Doença_Autista has 280 (31.9%) missing values Missing
Doença_Autista_Nº has 280 (31.9%) missing values Missing
Drogas has 34 (3.9%) missing values Missing
EEG_resultado has 722 (82.2%) missing values Missing
EN_Preferencia_mão has 160 (18.2%) missing values Missing
Est has 85 (9.7%) missing values Missing
Est.12M has 810 (92.3%) missing values Missing
Est.15M has 815 (92.8%) missing values Missing
Est.18M has 812 (92.5%) missing values Missing
Est.24M has 810 (92.3%) missing values Missing
Est.2M has 808 (92.0%) missing values Missing
Est.36M has 811 (92.4%) missing values Missing
Est.4M has 810 (92.3%) missing values Missing
Est.6M has 809 (92.1%) missing values Missing
Est.9M has 812 (92.5%) missing values Missing
Est._P has 76 (8.7%) missing values Missing
Estatura_(ALTA) has 784 (89.3%) missing values Missing
Estudo_genético has 172 (19.6%) missing values Missing
FG_WPPSIR has 863 (98.3%) missing values Missing
FM_WPPSIR has 873 (99.4%) missing values Missing
FRAXA_Result has 98 (11.2%) missing values Missing
FRAXE_Result has 489 (55.7%) missing values Missing
GAA has 222 (25.3%) missing values Missing
Griffiths has 51 (5.8%) missing values Missing
Griffiths_QD_Global has 117 (13.3%) missing values Missing
Griffiths_TM_Joana has 743 (84.6%) missing values Missing
Psyc_Family_Hist has 17 (1.9%) missing values Missing
IC_Reav_Griffiths has 580 (66.1%) missing values Missing
IC_Reav_WISCIII has 845 (96.2%) missing values Missing
IM_G has 120 (13.7%) missing values Missing
IM_L has 124 (14.1%) missing values Missing
IM_M has 123 (14.0%) missing values Missing
IM_O/M has 123 (14.0%) missing values Missing
IM_P/S has 123 (14.0%) missing values Missing
IM_R has 123 (14.0%) missing values Missing
IM_R/P has 203 (23.1%) missing values Missing
QDQI_Age has 102 (11.6%) missing values Missing
Diag_Age has 262 (29.8%) missing values Missing
Idade_Gestacional_ has 39 (4.4%) missing values Missing
Idade_WISCIII has 620 (70.6%) missing values Missing
Idade_WPPSIR_ has 821 (93.5%) missing values Missing
Idade_de_início has 147 (16.7%) missing values Missing
Idade_inicio_coincide_com_ has 94 (10.7%) missing values Missing
Incidentes has 20 (2.3%) missing values Missing
Inf_WISCIII has 652 (74.3%) missing values Missing
Inf_WPPSIR has 863 (98.3%) missing values Missing
Internamentos_História has 736 (83.8%) missing values Missing
Irmão_A_DN has 334 (38.0%) missing values Missing
Irmão_A_outras_doenças has 723 (82.3%) missing values Missing
Irmão_A_preferencia_mão has 408 (46.5%) missing values Missing
Irmão_A_problemas_DPM has 291 (33.1%) missing values Missing
Irmão_A_psicopatologia has 292 (33.3%) missing values Missing
Irmão_A_sexo has 268 (30.5%) missing values Missing
Irmão_B_DN has 739 (84.2%) missing values Missing
Irmão_B_Psicopatologia has 721 (82.1%) missing values Missing
Irmão_B_outras_doenças has 831 (94.6%) missing values Missing
Irmão_B_preferencia_mão has 766 (87.2%) missing values Missing
Irmão_B_problemas_DPM has 722 (82.2%) missing values Missing
Irmão_B_sexo has 715 (81.4%) missing values Missing
Irmão_C_DN has 845 (96.2%) missing values Missing
Irmão_C_Psicopatologia has 844 (96.1%) missing values Missing
Irmão_C_outras_doenças has 865 (98.5%) missing values Missing
Irmão_C_problemas_DPM has 844 (96.1%) missing values Missing
Irmão_C_sexo has 839 (95.6%) missing values Missing
Irmãos_outros_com_psicopatologia_e_ou_P_DPM has 815 (92.8%) missing values Missing
Lb_WPPSIR has 863 (98.3%) missing values Missing
MD_WISCIII has 760 (86.6%) missing values Missing
Manchas_cutaneas has 44 (5.0%) missing values Missing
Medicamentos_Quais has 830 (94.5%) missing values Missing
Medicação_actual has 33 (3.8%) missing values Missing
Motivo_Consulta has 13 (1.5%) missing values Missing
Mãe_DN has 159 (18.1%) missing values Missing
Mãe_estado_civil has 233 (26.5%) missing values Missing
Mãe_nível_académico has 73 (8.3%) missing values Missing
Mãe_outras_doenças has 643 (73.2%) missing values Missing
Mãe_preferência_mão has 136 (15.5%) missing values Missing
Mãe_problemas_DPM has 27 (3.1%) missing values Missing
Mãe_profissão has 115 (13.1%) missing values Missing
Mãe_psicopatologia has 22 (2.5%) missing values Missing
Mãe_raça has 248 (28.2%) missing values Missing
Nisongerpais has 360 (41.0%) missing values Missing
Nisongerprof has 360 (41.0%) missing values Missing
Nome_escola has 163 (18.6%) missing values Missing
Notas_Evolução has 808 (92.0%) missing values Missing
Nível_Funcional/QDG has 105 (12.0%) missing values Missing
Nível_matricula has 244 (27.8%) missing values Missing
Organomegálias has 87 (9.9%) missing values Missing
Origem_Familia_P has 650 (74.0%) missing values Missing
Outros_exames_S has 134 (15.3%) missing values Missing
Outros_exames_S_resultados has 83 (9.5%) missing values Missing
HC has 164 (18.7%) missing values Missing
PC_(ALTA) has 790 (90.0%) missing values Missing
PC_12M has 810 (92.3%) missing values Missing
PC_15M has 816 (92.9%) missing values Missing
PC_18M has 812 (92.5%) missing values Missing
PC_24M has 810 (92.3%) missing values Missing
PC_2M has 809 (92.1%) missing values Missing
PC_36M has 814 (92.7%) missing values Missing
PC_4M has 810 (92.3%) missing values Missing
PC_6M has 809 (92.1%) missing values Missing
PC_9M has 812 (92.5%) missing values Missing
PC__P has 184 (21.0%) missing values Missing
PDD_N/E has 375 (42.7%) missing values Missing
PS_WISCIII has 682 (77.7%) missing values Missing
Pai_DN has 162 (18.5%) missing values Missing
Pai_Estado_civil has 228 (26.0%) missing values Missing
Pai_Raça has 254 (28.9%) missing values Missing
Pai_nível_académico has 74 (8.4%) missing values Missing
Pai_outras_doenças has 644 (73.3%) missing values Missing
Pai_preferência_mão has 136 (15.5%) missing values Missing
Pai_problemas_DPM has 21 (2.4%) missing values Missing
Pai_profissão has 92 (10.5%) missing values Missing
Pai_psicopatologia has 19 (2.2%) missing values Missing
Parto_Hospitalar has 65 (7.4%) missing values Missing
Parto_Para has 14 (1.6%) missing values Missing
Parto_Problemas has 41 (4.7%) missing values Missing
Parto_Reanimação has 57 (6.5%) missing values Missing
Parto_Tipo has 28 (3.2%) missing values Missing
Peso_ has 59 (6.7%) missing values Missing
Peso_(ALTA) has 785 (89.4%) missing values Missing
Peso_12M has 810 (92.3%) missing values Missing
Peso_15M has 815 (92.8%) missing values Missing
Peso_18M has 812 (92.5%) missing values Missing
Peso_24M has 810 (92.3%) missing values Missing
Peso_2M has 808 (92.0%) missing values Missing
Peso_36M has 811 (92.4%) missing values Missing
Peso_4M has 809 (92.1%) missing values Missing
Peso_6M has 809 (92.1%) missing values Missing
Peso_9M has 811 (92.4%) missing values Missing
Peso_P has 143 (16.3%) missing values Missing
Ponto_redox_plasmático has 302 (34.4%) missing values Missing
Primeira_consulta_autismo-desenv. has 11 (1.3%) missing values Missing
First_Phrases_Age has 225 (25.6%) missing values Missing
First_Words_Age has 71 (8.1%) missing values Missing
Primos_com_psicopatologia_e_ou_P_DPM has 682 (77.7%) missing values Missing
Problemas_Outros has 40 (4.6%) missing values Missing
Problemas_Perinatais_e_neonatais has 40 (4.6%) missing values Missing
Problemas_Quais has 45 (5.1%) missing values Missing
Problemas_alimentares has 21 (2.4%) missing values Missing
Problemas_do_sono has 23 (2.6%) missing values Missing
Psicopatologia_criança has 221 (25.2%) missing values Missing
QD/QILing has 53 (6.0%) missing values Missing
QD/QIReal has 47 (5.4%) missing values Missing
QD/QIglobal has 51 (5.8%) missing values Missing
QDLreav has 601 (68.5%) missing values Missing
QDGreav has 601 (68.5%) missing values Missing
QDMreav has 601 (68.5%) missing values Missing
QDEHreav has 602 (68.6%) missing values Missing
QDPSreav has 601 (68.5%) missing values Missing
QDRPreav has 601 (68.5%) missing values Missing
QDRreav has 601 (68.5%) missing values Missing
QD_L has 119 (13.6%) missing values Missing
QD_M has 118 (13.4%) missing values Missing
QD_EH has 117 (13.3%) missing values Missing
QD_PS has 117 (13.3%) missing values Missing
QD_R has 117 (13.3%) missing values Missing
QD_PR has 198 (22.6%) missing values Missing
QI has 254 (28.9%) missing values Missing
Qd_WPPSIR has 863 (98.3%) missing values Missing
Quais_alterações_genéticas has 756 (86.1%) missing values Missing
Quais_terapias has 408 (46.5%) missing values Missing
RMN_resultado has 640 (72.9%) missing values Missing
Reav_Griffiths has 569 (64.8%) missing values Missing
Reav_WISCIII has 876 (99.8%) missing values Missing
PMD_Regression has 54 (6.2%) missing values Missing
Regressão_D_idade/_clinica has 821 (93.5%) missing values Missing
Regressão_Ling_idade has 668 (76.1%) missing values Missing
Language_Regr has 51 (5.8%) missing values Missing
Saúde_Geral has 58 (6.6%) missing values Missing
Sem_WISCIII has 652 (74.3%) missing values Missing
Sem_WPPSIR has 864 (98.4%) missing values Missing
Sentar has 346 (39.4%) missing values Missing
Sintomas has 878 (100.0%) missing values Missing
TAC_resultado has 793 (90.3%) missing values Missing
TA_WPPSIR has 870 (99.1%) missing values Missing
Tabaco has 32 (3.6%) missing values Missing
Terapias has 234 (26.7%) missing values Missing
Tios_com_psicopatologia_e_ou_p_DPM has 711 (81.0%) missing values Missing
Tipo_de_apoio has 279 (31.8%) missing values Missing
Vineland has 873 (99.4%) missing values Missing
Vineland_abr_Autonomia_DP-P has 173 (19.7%) missing values Missing
Vineland_abr_Socialização_DP-P has 173 (19.7%) missing values Missing
Vineland_abr_comportamento_maladaptativo has 662 (75.4%) missing values Missing
Vineland_abr_comunicação_DP-_P has 174 (19.8%) missing values Missing
Vineland_abr_global_DP-P has 175 (19.9%) missing values Missing
Vineland_abr_motricidade_DP-P has 675 (76.9%) missing values Missing
Vineland_ext_autonomia_DP-P has 876 (99.8%) missing values Missing
Vineland_ext_comportamento_maladaptativo has 875 (99.7%) missing values Missing
Vineland_ext_comunicação_DP-P has 876 (99.8%) missing values Missing
Vineland_ext_global_DP-P has 876 (99.8%) missing values Missing
Vineland_ext_socialização_DP-P has 875 (99.7%) missing values Missing
Vision has 87 (9.9%) missing values Missing
Voc_WISCIII has 653 (74.4%) missing values Missing
Voc_WPPSIR has 863 (98.3%) missing values Missing
WISCIII has 234 (26.7%) missing values Missing
WISCIIIG has 624 (71.1%) missing values Missing
WISCIIIR has 615 (70.0%) missing values Missing
WISCIIIV has 623 (71.0%) missing values Missing
WISCIII_Data has 615 (70.0%) missing values Missing
WISCIII_Pcv has 661 (75.3%) missing values Missing
WISCIII_Pop has 653 (74.4%) missing values Missing
WISCIII_Pvp has 684 (77.9%) missing values Missing
WISCIIIcv has 649 (73.9%) missing values Missing
WISCIIIop has 645 (73.5%) missing values Missing
WISCIIIvp has 673 (76.7%) missing values Missing
WPPSI-R has 271 (30.9%) missing values Missing
WPPSI-R_QIec has 853 (97.2%) missing values Missing
WPPSI-R_QIr has 853 (97.2%) missing values Missing
WPPSI-R_QIv has 853 (97.2%) missing values Missing
WPPSIR_data has 851 (96.9%) missing values Missing
nivel_autonomia_V has 148 (16.9%) missing values Missing
verbal has 322 (36.7%) missing values Missing
HC is highly skewed (γ1 = 26.67606944) Skewed
Vineland_abr_global_DP-P is highly skewed (γ1 = 26.51206329) Skewed
Code has unique values Unique
Sintomas is an unsupported type, check if it needs cleaning or further analysis Unsupported
ADIR_AbDev has 26 (3.0%) zeros Zeros
IM_R/P has 130 (14.8%) zeros Zeros
QD_PR has 134 (15.3%) zeros Zeros

Reproduction

Analysis started2022-12-16 17:31:37.118838
Analysis finished2022-12-16 17:31:39.082241
Duration1.96 second
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Code
Categorical

HIGH CARDINALITY
UNIQUE

Distinct878
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
AA1
 
1
AA593
 
1
AA574
 
1
AA568
 
1
AA650
 
1
Other values (873)
873 

Unique

Unique878 ?
Unique (%)100.0%

Sample

1st rowAA1
2nd rowAA34
3rd rowAA36
4th rowAA72
5th rowAA86

Common Values

ValueCountFrequency (%)
AA11
 
0.1%
AA5931
 
0.1%
AA5741
 
0.1%
AA5681
 
0.1%
AA6501
 
0.1%
AA5861
 
0.1%
AA7051
 
0.1%
AA5481
 
0.1%
AA5611
 
0.1%
AA5661
 
0.1%
Other values (868)868
98.9%

ABcut-off_PEA
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing216
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean7.326283988
Minimum7
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:39.175444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q38
95-th percentile8
Maximum11
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.576287165
Coefficient of variation (CV)0.07866022747
Kurtosis12.83691271
Mean7.326283988
Median Absolute Deviation (MAD)0
Skewness2.728418281
Sum4850
Variance0.3321068965
MonotonicityNot monotonic
2022-12-16T17:31:39.283151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7465
53.0%
8190
21.6%
116
 
0.7%
91
 
0.1%
(Missing)216
24.6%
ValueCountFrequency (%)
7465
53.0%
8190
21.6%
91
 
0.1%
116
 
0.7%
ValueCountFrequency (%)
116
 
0.7%
91
 
0.1%
8190
21.6%
7465
53.0%

ABcut-off_autismo
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing215
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean11.68325792
Minimum9
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:39.399910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10
Q112
median12
Q312
95-th percentile12
Maximum16
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8720952328
Coefficient of variation (CV)0.07464486694
Kurtosis5.175985025
Mean11.68325792
Median Absolute Deviation (MAD)0
Skewness-0.1884764929
Sum7746
Variance0.760550095
MonotonicityNot monotonic
2022-12-16T17:31:39.505066image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
12541
61.6%
10114
 
13.0%
166
 
0.7%
92
 
0.2%
(Missing)215
 
24.5%
ValueCountFrequency (%)
92
 
0.2%
10114
 
13.0%
12541
61.6%
166
 
0.7%
ValueCountFrequency (%)
166
 
0.7%
12541
61.6%
10114
 
13.0%
92
 
0.2%

ADIR
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing42
Missing (%)4.8%
Memory size7.0 KiB
S
810 
N
 
26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S810
92.3%
N26
 
3.0%
(Missing)42
 
4.8%

ADIR_AbDev
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)1.0%
Missing87
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean4.032869785
Minimum0
Maximum25
Zeros26
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:39.621252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.521635274
Coefficient of variation (CV)0.3773083076
Kurtosis45.5639288
Mean4.032869785
Median Absolute Deviation (MAD)1
Skewness2.351945941
Sum3190
Variance2.315373906
MonotonicityNot monotonic
2022-12-16T17:31:39.737428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5384
43.7%
4193
22.0%
3108
 
12.3%
240
 
4.6%
133
 
3.8%
026
 
3.0%
66
 
0.7%
251
 
0.1%
(Missing)87
 
9.9%
ValueCountFrequency (%)
026
 
3.0%
133
 
3.8%
240
 
4.6%
3108
12.3%
4193
22.0%
ValueCountFrequency (%)
251
 
0.1%
66
 
0.7%
5384
43.7%
4193
22.0%
3108
 
12.3%

ADIR_Soc
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)3.7%
Missing76
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean19.44638404
Minimum0
Maximum30
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:39.869321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q114
median19
Q325
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.643047534
Coefficient of variation (CV)0.341608369
Kurtosis-0.9657625466
Mean19.44638404
Median Absolute Deviation (MAD)6
Skewness-0.1229451133
Sum15596
Variance44.13008054
MonotonicityNot monotonic
2022-12-16T17:31:40.002975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2851
 
5.8%
1648
 
5.5%
3045
 
5.1%
1445
 
5.1%
2243
 
4.9%
2643
 
4.9%
1141
 
4.7%
1340
 
4.6%
2439
 
4.4%
1739
 
4.4%
Other values (20)368
41.9%
(Missing)76
 
8.7%
ValueCountFrequency (%)
01
 
0.1%
11
 
0.1%
22
0.2%
41
 
0.1%
53
0.3%
ValueCountFrequency (%)
3045
5.1%
2927
3.1%
2851
5.8%
2725
2.8%
2643
4.9%

ADIR_C_7
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)3.7%
Missing445
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean9.849884527
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:40.131643image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q18
median10
Q312
95-th percentile14
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.883237994
Coefficient of variation (CV)0.2927179487
Kurtosis-0.1254991878
Mean9.849884527
Median Absolute Deviation (MAD)2
Skewness-0.260826766
Sum4265
Variance8.313061329
MonotonicityNot monotonic
2022-12-16T17:31:40.244055image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
779
 
9.0%
1460
 
6.8%
849
 
5.6%
949
 
5.6%
1047
 
5.4%
1247
 
5.4%
1142
 
4.8%
1331
 
3.5%
57
 
0.8%
66
 
0.7%
Other values (6)16
 
1.8%
(Missing)445
50.7%
ValueCountFrequency (%)
13
0.3%
25
0.6%
32
 
0.2%
44
0.5%
57
0.8%
ValueCountFrequency (%)
181
 
0.1%
161
 
0.1%
1460
6.8%
1331
3.5%
1247
5.4%

ADIR_C_8
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)7.0%
Missing509
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean12.24932249
Minimum0
Maximum26
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:40.375511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q316
95-th percentile21
Maximum26
Range26
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.96483896
Coefficient of variation (CV)0.405315393
Kurtosis-0.3002383201
Mean12.24932249
Median Absolute Deviation (MAD)3
Skewness0.4276502174
Sum4520
Variance24.6496259
MonotonicityNot monotonic
2022-12-16T17:31:41.559131image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
859
 
6.7%
935
 
4.0%
1030
 
3.4%
1126
 
3.0%
1324
 
2.7%
1224
 
2.7%
1720
 
2.3%
1419
 
2.2%
1818
 
2.1%
1616
 
1.8%
Other values (16)98
 
11.2%
(Missing)509
58.0%
ValueCountFrequency (%)
01
 
0.1%
24
0.5%
34
0.5%
47
0.8%
55
0.6%
ValueCountFrequency (%)
261
 
0.1%
251
 
0.1%
248
0.9%
231
 
0.1%
226
0.7%

ADIR_RRB
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)1.9%
Missing77
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean4.685393258
Minimum0
Maximum23
Zeros7
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:41.678061image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q36
95-th percentile8
Maximum23
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.08707903
Coefficient of variation (CV)0.4454437258
Kurtosis7.726402309
Mean4.685393258
Median Absolute Deviation (MAD)1
Skewness1.550974188
Sum3753
Variance4.355898876
MonotonicityNot monotonic
2022-12-16T17:31:41.779872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4203
23.1%
3197
22.4%
5118
13.4%
697
11.0%
852
 
5.9%
750
 
5.7%
233
 
3.8%
1013
 
1.5%
112
 
1.4%
911
 
1.3%
Other values (5)15
 
1.7%
(Missing)77
 
8.8%
ValueCountFrequency (%)
07
 
0.8%
112
 
1.4%
233
 
3.8%
3197
22.4%
4203
23.1%
ValueCountFrequency (%)
231
 
0.1%
131
 
0.1%
123
 
0.3%
113
 
0.3%
1013
1.5%

ADIR_quot
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing68
Missing (%)7.7%
Memory size7.0 KiB
Positive
736 
Negative
74 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPositive
2nd rowPositive
3rd rowPositive
4th rowPositive
5th rowPositive

Common Values

ValueCountFrequency (%)
Positive736
83.8%
Negative74
 
8.4%
(Missing)68
 
7.7%

ADIR_idade_meses
Real number (ℝ≥0)

MISSING

Distinct138
Distinct (%)17.7%
Missing99
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean64.39409499
Minimum15
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:41.906532image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile30
Q142
median52
Q378
95-th percentile138
Maximum245
Range230
Interquartile range (IQR)36

Descriptive statistics

Standard deviation34.19932524
Coefficient of variation (CV)0.5310941204
Kurtosis2.786653326
Mean64.39409499
Median Absolute Deviation (MAD)13
Skewness1.617804809
Sum50163
Variance1169.593847
MonotonicityNot monotonic
2022-12-16T17:31:42.061669image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4930
 
3.4%
5030
 
3.4%
3924
 
2.7%
5124
 
2.7%
5221
 
2.4%
4821
 
2.4%
3819
 
2.2%
5718
 
2.1%
3717
 
1.9%
4417
 
1.9%
Other values (128)558
63.6%
(Missing)99
 
11.3%
ValueCountFrequency (%)
151
 
0.1%
203
 
0.3%
243
 
0.3%
259
1.0%
264
0.5%
ValueCountFrequency (%)
2451
0.1%
2142
0.2%
2041
0.1%
1911
0.1%
1841
0.1%

ADIRdata
Categorical

HIGH CARDINALITY
MISSING

Distinct666
Distinct (%)85.5%
Missing99
Missing (%)11.3%
Memory size7.0 KiB
2011-12-12 00:00:00
 
4
2008-03-04 00:00:00
 
4
2008-05-21 00:00:00
 
4
2001-03-20 00:00:00
 
3
2008-05-19 00:00:00
 
3
Other values (661)
761 

Unique

Unique572 ?
Unique (%)73.4%

Sample

1st row1999-06-01 00:00:00
2nd row2001-04-27 00:00:00
3rd row2001-01-23 00:00:00
4th row2001-02-09 00:00:00
5th row2002-02-07 00:00:00

Common Values

ValueCountFrequency (%)
2011-12-12 00:00:004
 
0.5%
2008-03-04 00:00:004
 
0.5%
2008-05-21 00:00:004
 
0.5%
2001-03-20 00:00:003
 
0.3%
2008-05-19 00:00:003
 
0.3%
2001-04-03 00:00:003
 
0.3%
2000-11-07 00:00:003
 
0.3%
2006-09-05 00:00:003
 
0.3%
2001-01-08 00:00:003
 
0.3%
2000-11-28 00:00:003
 
0.3%
Other values (656)746
85.0%
(Missing)99
 
11.3%

ADOS
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing33
Missing (%)3.8%
Memory size7.0 KiB
S
673 
N
172 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
S673
76.7%
N172
 
19.6%
(Missing)33
 
3.8%

ADOS_data
Categorical

HIGH CARDINALITY
MISSING

Distinct541
Distinct (%)80.9%
Missing209
Missing (%)23.8%
Memory size7.0 KiB
2008-06-17
 
5
2014-02-17
 
4
2009-05-11
 
4
2008-10-28
 
4
2014-07-07
 
3
Other values (536)
649 

Unique

Unique440 ?
Unique (%)65.8%

Sample

1st row2006-10-19
2nd row2007-09-05
3rd row2008-09-29
4th row2008-10-22
5th row2007-10-09

Common Values

ValueCountFrequency (%)
2008-06-175
 
0.6%
2014-02-174
 
0.5%
2009-05-114
 
0.5%
2008-10-284
 
0.5%
2014-07-073
 
0.3%
2008-08-043
 
0.3%
2012-06-263
 
0.3%
2008-08-113
 
0.3%
2011-11-083
 
0.3%
2009-06-013
 
0.3%
Other values (531)634
72.2%
(Missing)209
 
23.8%

ADOS_idade_
Real number (ℝ≥0)

MISSING

Distinct170
Distinct (%)25.4%
Missing209
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean76.70702541
Minimum15
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:42.218886image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile30
Q143
median61
Q398
95-th percentile171.4
Maximum274
Range259
Interquartile range (IQR)55

Descriptive statistics

Standard deviation45.97435788
Coefficient of variation (CV)0.5993500287
Kurtosis1.529846084
Mean76.70702541
Median Absolute Deviation (MAD)23
Skewness1.344680268
Sum51317
Variance2113.641582
MonotonicityNot monotonic
2022-12-16T17:31:42.382611image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3917
 
1.9%
3714
 
1.6%
4414
 
1.6%
3814
 
1.6%
3514
 
1.6%
5714
 
1.6%
3313
 
1.5%
3112
 
1.4%
5012
 
1.4%
4512
 
1.4%
Other values (160)533
60.7%
(Missing)209
 
23.8%
ValueCountFrequency (%)
151
0.1%
181
0.1%
201
0.1%
211
0.1%
231
0.1%
ValueCountFrequency (%)
2741
0.1%
2601
0.1%
2491
0.1%
2461
0.1%
2361
0.1%

ADOS_Sev
Categorical

MISSING

Distinct3
Distinct (%)0.4%
Missing205
Missing (%)23.3%
Memory size7.0 KiB
Autism
532 
ASD
135 
Non Spectrum
 
6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAutism
2nd rowASD
3rd rowAutism
4th rowAutism
5th rowAutism

Common Values

ValueCountFrequency (%)
Autism532
60.6%
ASD135
 
15.4%
Non Spectrum6
 
0.7%
(Missing)205
 
23.3%

ADOScomunicação_A
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)2.9%
Missing212
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean5.462462462
Minimum0
Maximum20
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:42.533511image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median5
Q37
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.242300632
Coefficient of variation (CV)0.410492639
Kurtosis6.74530795
Mean5.462462462
Median Absolute Deviation (MAD)1
Skewness1.491595527
Sum3638
Variance5.027912123
MonotonicityNot monotonic
2022-12-16T17:31:42.666446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6138
15.7%
5112
12.8%
4106
12.1%
795
10.8%
392
10.5%
857
 
6.5%
227
 
3.1%
913
 
1.5%
109
 
1.0%
133
 
0.3%
Other values (9)14
 
1.6%
(Missing)212
24.1%
ValueCountFrequency (%)
03
 
0.3%
13
 
0.3%
227
 
3.1%
392
10.5%
4106
12.1%
ValueCountFrequency (%)
201
0.1%
191
0.1%
181
0.1%
161
0.1%
151
0.1%

ADOSinteracção_B
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)2.6%
Missing212
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean9.174174174
Minimum0
Maximum17
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:42.799077image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median9
Q311
95-th percentile14
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.932266899
Coefficient of variation (CV)0.3196218911
Kurtosis-0.4969856942
Mean9.174174174
Median Absolute Deviation (MAD)2
Skewness-0.1073954582
Sum6110
Variance8.598189167
MonotonicityNot monotonic
2022-12-16T17:31:42.906661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
898
11.2%
984
 
9.6%
1075
 
8.5%
762
 
7.1%
1162
 
7.1%
1457
 
6.5%
1253
 
6.0%
1348
 
5.5%
547
 
5.4%
646
 
5.2%
Other values (7)34
 
3.9%
(Missing)212
24.1%
ValueCountFrequency (%)
01
 
0.1%
12
 
0.2%
25
 
0.6%
36
 
0.7%
418
2.1%
ValueCountFrequency (%)
171
 
0.1%
161
 
0.1%
1457
6.5%
1348
5.5%
1253
6.0%

ADOSmódulo
Categorical

MISSING

Distinct5
Distinct (%)0.7%
Missing205
Missing (%)23.3%
Memory size7.0 KiB
1
363 
2
190 
3
114 
4
 
5
I
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1363
41.3%
2190
21.6%
3114
 
13.0%
45
 
0.6%
I1
 
0.1%
(Missing)205
23.3%

AGP/TASC_código
Categorical

HIGH CARDINALITY
MISSING

Distinct274
Distinct (%)100.0%
Missing604
Missing (%)68.8%
Memory size7.0 KiB
217-14253-14253/3760
 
1
217-14375-14375/4880
 
1
217-14248-14248/3720
 
1
217-14245-14245/3690
 
1
217-14299-14299/4200
 
1
Other values (269)
269 

Unique

Unique274 ?
Unique (%)100.0%

Sample

1st rowAA21
2nd row217-14004-14004/20
3rd row217-14232-14232/60
4th row217-14005-14005/90
5th row217-14002-14002/100

Common Values

ValueCountFrequency (%)
217-14253-14253/37601
 
0.1%
217-14375-14375/48801
 
0.1%
217-14248-14248/37201
 
0.1%
217-14245-14245/36901
 
0.1%
217-14299-14299/42001
 
0.1%
217-14276-14276/39901
 
0.1%
217-14246-14246/37001
 
0.1%
217-14260-14260/38301
 
0.1%
217-14310-14310/42701
 
0.1%
217-14244-14244/36801
 
0.1%
Other values (264)264
30.1%
(Missing)604
68.8%
Distinct7
Distinct (%)1.2%
Missing274
Missing (%)31.2%
Memory size7.0 KiB
Normal
588 
alterado (repetir)
 
9
Alterado
 
3
 
1
alt. discretas
 
1
Other values (2)
 
2

Unique

Unique4 ?
Unique (%)0.7%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal588
67.0%
alterado (repetir)9
 
1.0%
Alterado3
 
0.3%
1
 
0.1%
alt. discretas1
 
0.1%
alterado (repetir) vestigios de 4-hidroxifenil-láctico.1
 
0.1%
vestigios ac metilcitrico1
 
0.1%
(Missing)274
31.2%

Acut-off_PEA
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.5%
Missing226
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean2.29601227
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:43.023951image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q33
95-th percentile3
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4635229285
Coefficient of variation (CV)0.2018817297
Kurtosis-0.7696751889
Mean2.29601227
Median Absolute Deviation (MAD)0
Skewness0.9883253312
Sum1497
Variance0.2148535052
MonotonicityNot monotonic
2022-12-16T17:31:43.124254image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2461
52.5%
3189
21.5%
42
 
0.2%
(Missing)226
25.7%
ValueCountFrequency (%)
2461
52.5%
3189
21.5%
42
 
0.2%
ValueCountFrequency (%)
42
 
0.2%
3189
21.5%
2461
52.5%

Acut-off_autismo
Real number (ℝ)

MISSING

Distinct5
Distinct (%)0.8%
Missing225
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean4.098009188
Minimum-3
Maximum5
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.0 KiB
2022-12-16T17:31:43.235587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7323876952
Coefficient of variation (CV)0.1787179241
Kurtosis12.31559714
Mean4.098009188
Median Absolute Deviation (MAD)0
Skewness-1.493800415
Sum2676
Variance0.5363917361
MonotonicityNot monotonic
2022-12-16T17:31:43.335474image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4348
39.6%
5188
21.4%
3115
 
13.1%
-31
 
0.1%
21
 
0.1%
(Missing)225
25.6%
ValueCountFrequency (%)
-31
 
0.1%
21
 
0.1%
3115
 
13.1%
4348
39.6%
5188
21.4%
ValueCountFrequency (%)
5188
21.4%
4348
39.6%
3115
 
13.1%
21
 
0.1%
-31
 
0.1%

Agendamento_reav._Griffiths
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing874
Missing (%)99.5%
Memory size7.0 KiB
2013-06-12
2012-04-01
2012-04-04
2014-03-25

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row2013-06-12
2nd row2012-04-01
3rd row2012-04-04
4th row2014-03-25

Common Values

ValueCountFrequency (%)
2013-06-121
 
0.1%
2012-04-011
 
0.1%
2012-04-041
 
0.1%
2014-03-251
 
0.1%
(Missing)874
99.5%

Agregado_Meio
Categorical

MISSING

Distinct2
Distinct (%)1.9%
Missing775
Missing (%)88.3%
Memory size7.0 KiB
Rural
53 
Urbano
50 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUrbano
2nd rowRural
3rd rowRural
4th rowRural
5th rowRural

Common Values

ValueCountFrequency (%)
Rural53
 
6.0%
Urbano50
 
5.7%
(Missing)775
88.3%

Alcool
Categorical

MISSING

Distinct5
Distinct (%)0.6%
Missing34
Missing (%)3.9%
Memory size7.0 KiB
N
836 
S
 
5
Um copo de vinho ocasional
 
1
1 copo de vinho às refeições
 
1
Ocasional
 
1

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N836
95.2%
S5
 
0.6%
Um copo de vinho ocasional1
 
0.1%
1 copo de vinho às refeições1
 
0.1%
Ocasional1
 
0.1%
(Missing)34
 
3.9%
Distinct10
Distinct (%)2.0%
Missing389
Missing (%)44.3%
Memory size7.0 KiB
Normal
467 
alterado (repetir)
 
7
Alterado
 
7
alt. discretas
 
2
alterações ligeiras
 
1
Other values (5)
 
5

Unique

Unique6 ?
Unique (%)1.2%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal467
53.2%
alterado (repetir)7
 
0.8%
Alterado7
 
0.8%
alt. discretas2
 
0.2%
alterações ligeiras1
 
0.1%
alterado - repetido a 26-03-20081
 
0.1%
discretas alterações1
 
0.1%
alt discretas1
 
0.1%
alterações discretas 1
 
0.1%
alterado (repetir) repetiu 16/3/091
 
0.1%
(Missing)389
44.3%

Walk_Age
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)3.1%
Missing9
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean14.96490219
Minimum8
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:43.465284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11
Q112
median14
Q316
95-th percentile24
Maximum60
Range52
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.722870563
Coefficient of variation (CV)0.3155964873
Kurtosis18.85559173
Mean14.96490219
Median Absolute Deviation (MAD)2
Skewness3.319290426
Sum13004.5
Variance22.30550636
MonotonicityNot monotonic
2022-12-16T17:31:43.595225image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
12170
19.4%
14118
13.4%
13115
13.1%
15101
11.5%
1883
9.5%
1162
 
7.1%
1648
 
5.5%
1743
 
4.9%
2426
 
3.0%
1020
 
2.3%
Other values (17)83
9.5%
ValueCountFrequency (%)
82
 
0.2%
918
 
2.1%
1020
 
2.3%
1162
 
7.1%
12170
19.4%
ValueCountFrequency (%)
601
 
0.1%
482
 
0.2%
441
 
0.1%
366
0.7%
331
 
0.1%

Ano_Diag.
Real number (ℝ≥0)

Distinct32
Distinct (%)3.7%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2007.149543
Minimum1990
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:43.844165image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile1998
Q12002
median2007
Q32012
95-th percentile2017
Maximum2022
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.125488652
Coefficient of variation (CV)0.003051834713
Kurtosis-0.6099703567
Mean2007.149543
Median Absolute Deviation (MAD)5
Skewness-0.02052880297
Sum1758263
Variance37.52161122
MonotonicityNot monotonic
2022-12-16T17:31:43.977481image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
200761
 
6.9%
200856
 
6.4%
200252
 
5.9%
201352
 
5.9%
200149
 
5.6%
201145
 
5.1%
200345
 
5.1%
200445
 
5.1%
200041
 
4.7%
200641
 
4.7%
Other values (22)389
44.3%
ValueCountFrequency (%)
19902
 
0.2%
19925
0.6%
19934
0.5%
19945
0.6%
19953
0.3%
ValueCountFrequency (%)
20222
 
0.2%
20214
 
0.5%
20201
 
0.1%
201913
1.5%
201814
1.6%

Ano_lectivo
Categorical

MISSING

Distinct18
Distinct (%)2.3%
Missing95
Missing (%)10.8%
Memory size7.0 KiB
2017/18
158 
2016/17
118 
2018/19
78 
2014/15
68 
2015/16
66 
Other values (13)
295 

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row2008/09
2nd row2006/07
3rd row2006/07
4th row2006/07
5th row2008/09

Common Values

ValueCountFrequency (%)
2017/18158
18.0%
2016/17118
13.4%
2018/1978
8.9%
2014/1568
7.7%
2015/1666
7.5%
2011/1240
 
4.6%
2013/1438
 
4.3%
2012/1336
 
4.1%
2006/0732
 
3.6%
2009/1032
 
3.6%
Other values (8)117
13.3%
(Missing)95
10.8%

Apgar_1
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)1.6%
Missing268
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean8.581967213
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:44.108006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.45
Q19
median9
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.282957405
Coefficient of variation (CV)0.1494945591
Kurtosis7.356438218
Mean8.581967213
Median Absolute Deviation (MAD)0
Skewness-2.520886613
Sum5235
Variance1.645979703
MonotonicityNot monotonic
2022-12-16T17:31:44.211427image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9424
48.3%
1055
 
6.3%
854
 
6.2%
729
 
3.3%
617
 
1.9%
517
 
1.9%
49
 
1.0%
32
 
0.2%
22
 
0.2%
11
 
0.1%
(Missing)268
30.5%
ValueCountFrequency (%)
11
 
0.1%
22
 
0.2%
32
 
0.2%
49
1.0%
517
1.9%
ValueCountFrequency (%)
1055
 
6.3%
9424
48.3%
854
 
6.2%
729
 
3.3%
617
 
1.9%

Apgar_5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.6%
Missing76
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean9.820448878
Minimum6
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:44.319620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5336897667
Coefficient of variation (CV)0.05434474262
Kurtosis12.87322688
Mean9.820448878
Median Absolute Deviation (MAD)0
Skewness-3.445452038
Sum7876
Variance0.284824767
MonotonicityNot monotonic
2022-12-16T17:31:44.425130image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
10702
80.0%
966
 
7.5%
825
 
2.8%
78
 
0.9%
61
 
0.1%
(Missing)76
 
8.7%
ValueCountFrequency (%)
61
 
0.1%
78
 
0.9%
825
 
2.8%
966
 
7.5%
10702
80.0%
ValueCountFrequency (%)
10702
80.0%
966
 
7.5%
825
 
2.8%
78
 
0.9%
61
 
0.1%

AplusB
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)3.4%
Missing206
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean14.66964286
Minimum0
Maximum34
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:44.556885image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q111
median15
Q318
95-th percentile22
Maximum34
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.371814056
Coefficient of variation (CV)0.2980177567
Kurtosis-0.179147788
Mean14.66964286
Median Absolute Deviation (MAD)3
Skewness0.07302989021
Sum9858
Variance19.11275814
MonotonicityNot monotonic
2022-12-16T17:31:44.674870image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1259
 
6.7%
1456
 
6.4%
1650
 
5.7%
1349
 
5.6%
1948
 
5.5%
1548
 
5.5%
1148
 
5.5%
1746
 
5.2%
1845
 
5.1%
834
 
3.9%
Other values (13)189
21.5%
(Missing)206
23.5%
ValueCountFrequency (%)
01
 
0.1%
22
 
0.2%
51
 
0.1%
720
2.3%
834
3.9%
ValueCountFrequency (%)
341
 
0.1%
251
 
0.1%
243
 
0.3%
237
 
0.8%
2228
3.2%

Apoio
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing162
Missing (%)18.5%
Memory size7.0 KiB
S
601 
N
115 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowN
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
S601
68.5%
N115
 
13.1%
(Missing)162
 
18.5%

Ari_WISCIII
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)8.0%
Missing653
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean8.031111111
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:44.798137image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile15.8
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.299492403
Coefficient of variation (CV)0.5353546157
Kurtosis-0.3485783734
Mean8.031111111
Median Absolute Deviation (MAD)3
Skewness0.268887356
Sum1807
Variance18.48563492
MonotonicityNot monotonic
2022-12-16T17:31:44.907049image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
831
 
3.5%
924
 
2.7%
622
 
2.5%
120
 
2.3%
717
 
1.9%
415
 
1.7%
1013
 
1.5%
1313
 
1.5%
1112
 
1.4%
1410
 
1.1%
Other values (8)48
 
5.5%
(Missing)653
74.4%
ValueCountFrequency (%)
120
2.3%
28
 
0.9%
39
1.0%
415
1.7%
57
 
0.8%
ValueCountFrequency (%)
193
 
0.3%
183
 
0.3%
166
0.7%
154
 
0.5%
1410
1.1%

Ari_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)60.0%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean9.933333333
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:45.022002image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q18
median10
Q312
95-th percentile17
Maximum17
Range16
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.233652031
Coefficient of variation (CV)0.4262065804
Kurtosis0.4183032898
Mean9.933333333
Median Absolute Deviation (MAD)2
Skewness-0.05735633874
Sum149
Variance17.92380952
MonotonicityNot monotonic
2022-12-16T17:31:45.124542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
83
 
0.3%
102
 
0.2%
62
 
0.2%
112
 
0.2%
172
 
0.2%
91
 
0.1%
141
 
0.1%
11
 
0.1%
131
 
0.1%
(Missing)863
98.3%
ValueCountFrequency (%)
11
 
0.1%
62
0.2%
83
0.3%
91
 
0.1%
102
0.2%
ValueCountFrequency (%)
172
0.2%
141
0.1%
131
0.1%
112
0.2%
102
0.2%

Asperger
Categorical

MISSING

Distinct3
Distinct (%)0.6%
Missing366
Missing (%)41.7%
Memory size7.0 KiB
N
502 
S
 
7
±
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N502
57.2%
S7
 
0.8%
±3
 
0.3%
(Missing)366
41.7%

PMD_Delay
Categorical

MISSING

Distinct7
Distinct (%)0.8%
Missing34
Missing (%)3.9%
Memory size7.0 KiB
N
337 
S
257 
2A
246 
3 anos
 
1
3 Ano_x000B_
 
1
Other values (2)
 
2

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st rowS
2nd row2A
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
N337
38.4%
S257
29.3%
2A246
28.0%
3 anos1
 
0.1%
3 Ano_x000B_1
 
0.1%
4 anos1
 
0.1%
3A1
 
0.1%
(Missing)34
 
3.9%

Audition
Categorical

MISSING

Distinct40
Distinct (%)4.8%
Missing38
Missing (%)4.3%
Memory size7.0 KiB
Normal- ORL
429 
Normal C
252 
Normal - ORL
54 
Normal
48 
PEA - normal
 
13
Other values (35)
44 

Unique

Unique28 ?
Unique (%)3.3%

Sample

1st rowNormal_x001D_Normal- ORL
2nd rowNormal C
3rd rowSurdez( especificar)_x001D_anormal- ORL
4th rowNormal- ORL
5th rowNormal- ORL

Common Values

ValueCountFrequency (%)
Normal- ORL429
48.9%
Normal C252
28.7%
Normal - ORL54
 
6.2%
Normal48
 
5.5%
PEA - normal13
 
1.5%
Clinicamente normal3
 
0.3%
Normal ORL3
 
0.3%
em estudo2
 
0.2%
Normal_x001D_Normal- ORL2
 
0.2%
Surdez( especificar)_x001D_surdez ligeira transmissão-Eda2
 
0.2%
Other values (30)32
 
3.6%
(Missing)38
 
4.3%

Avô_e_Avó_com_psicopatologia_e_ou_P_DPM
Categorical

HIGH CARDINALITY
MISSING

Distinct70
Distinct (%)44.6%
Missing721
Missing (%)82.1%
Memory size7.0 KiB
Não
84 
Avó materna com depressão
 
3
Avó paterna com depressão_x001D_Sim
 
2
Avó materna com depressão_x001D_Sim
 
2
Sim_x001D_Avó paterna
 
1
Other values (65)
65 

Unique

Unique66 ?
Unique (%)42.0%

Sample

1st rowSim_x001D_Avó paterna
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não84
 
9.6%
Avó materna com depressão3
 
0.3%
Avó paterna com depressão_x001D_Sim2
 
0.2%
Avó materna com depressão_x001D_Sim2
 
0.2%
Sim_x001D_Avó paterna 1
 
0.1%
avó paterno: artrite reumatóide/cirurgia próstata_x001D_avó paterno: enxaqueca/tiróide1
 
0.1%
Avó paterna Depressão1
 
0.1%
Avó hipertiroidismo1
 
0.1%
Avô mat. faleceu com leucemia1
 
0.1%
Avó materna Parkinson1
 
0.1%
Other values (60)60
 
6.8%
(Missing)721
82.1%

Bcut-off_PEA
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing226
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean4.02607362
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:45.242347image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum9
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3245148771
Coefficient of variation (CV)0.08060331424
Kurtosis130.7645633
Mean4.02607362
Median Absolute Deviation (MAD)0
Skewness10.26292238
Sum2625
Variance0.1053099055
MonotonicityNot monotonic
2022-12-16T17:31:45.338460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4645
73.5%
74
 
0.5%
91
 
0.1%
61
 
0.1%
21
 
0.1%
(Missing)226
 
25.7%
ValueCountFrequency (%)
21
 
0.1%
4645
73.5%
61
 
0.1%
74
 
0.5%
91
 
0.1%
ValueCountFrequency (%)
91
 
0.1%
74
 
0.5%
61
 
0.1%
4645
73.5%
21
 
0.1%

Bcut-off_autismo
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing225
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean6.537519142
Minimum4
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:45.445667image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q16
median7
Q37
95-th percentile7
Maximum12
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5515326957
Coefficient of variation (CV)0.08436421886
Kurtosis13.26425433
Mean6.537519142
Median Absolute Deviation (MAD)0
Skewness1.226646715
Sum4269
Variance0.3041883144
MonotonicityNot monotonic
2022-12-16T17:31:45.546755image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7347
39.5%
6304
34.6%
41
 
0.1%
121
 
0.1%
(Missing)225
25.6%
ValueCountFrequency (%)
41
 
0.1%
6304
34.6%
7347
39.5%
121
 
0.1%
ValueCountFrequency (%)
121
 
0.1%
7347
39.5%
6304
34.6%
41
 
0.1%

CG_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.3%
Missing649
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean9.082969432
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:45.665187image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median9
Q312
95-th percentile15
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.943361944
Coefficient of variation (CV)0.4341489833
Kurtosis-0.3603885225
Mean9.082969432
Median Absolute Deviation (MAD)3
Skewness-0.212112117
Sum2080
Variance15.55010342
MonotonicityNot monotonic
2022-12-16T17:31:45.777579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
935
 
4.0%
722
 
2.5%
822
 
2.5%
1320
 
2.3%
1219
 
2.2%
617
 
1.9%
115
 
1.7%
1114
 
1.6%
1013
 
1.5%
1412
 
1.4%
Other values (9)40
 
4.6%
(Missing)649
73.9%
ValueCountFrequency (%)
115
1.7%
24
 
0.5%
33
 
0.3%
47
0.8%
57
0.8%
ValueCountFrequency (%)
191
 
0.1%
181
 
0.1%
171
 
0.1%
164
 
0.5%
1512
1.4%

CG_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)42.9%
Missing864
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean12.28571429
Minimum9
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:45.891900image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q110.5
median13
Q313.75
95-th percentile15
Maximum15
Range6
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.054210364
Coefficient of variation (CV)0.1672031692
Kurtosis-0.9916770241
Mean12.28571429
Median Absolute Deviation (MAD)1
Skewness-0.4487734149
Sum172
Variance4.21978022
MonotonicityNot monotonic
2022-12-16T17:31:45.987111image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
134
 
0.5%
102
 
0.2%
152
 
0.2%
92
 
0.2%
142
 
0.2%
122
 
0.2%
(Missing)864
98.4%
ValueCountFrequency (%)
92
0.2%
102
0.2%
122
0.2%
134
0.5%
142
0.2%
ValueCountFrequency (%)
152
0.2%
142
0.2%
134
0.5%
122
0.2%
102
0.2%

CO_WISCIII
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)7.9%
Missing650
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean9.01754386
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:46.102492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17
median9.5
Q311
95-th percentile14.65
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.570516704
Coefficient of variation (CV)0.3959522415
Kurtosis-0.3522581824
Mean9.01754386
Median Absolute Deviation (MAD)2.5
Skewness-0.2546637345
Sum2056
Variance12.74858954
MonotonicityNot monotonic
2022-12-16T17:31:46.213723image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1132
 
3.6%
1029
 
3.3%
928
 
3.2%
1222
 
2.5%
718
 
2.1%
816
 
1.8%
414
 
1.6%
1311
 
1.3%
510
 
1.1%
29
 
1.0%
Other values (8)39
 
4.4%
(Missing)650
74.0%
ValueCountFrequency (%)
13
 
0.3%
29
1.0%
38
0.9%
414
1.6%
510
1.1%
ValueCountFrequency (%)
181
 
0.1%
172
 
0.2%
163
 
0.3%
156
0.7%
148
0.9%

CO_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)60.0%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean10.93333333
Minimum5
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:46.328760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.1
Q19.5
median11
Q312.5
95-th percentile15.2
Maximum18
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.96326718
Coefficient of variation (CV)0.2710305348
Kurtosis1.879703834
Mean10.93333333
Median Absolute Deviation (MAD)2
Skewness0.4738198229
Sum164
Variance8.780952381
MonotonicityNot monotonic
2022-12-16T17:31:46.446718image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
103
 
0.3%
113
 
0.3%
92
 
0.2%
132
 
0.2%
51
 
0.1%
81
 
0.1%
121
 
0.1%
141
 
0.1%
181
 
0.1%
(Missing)863
98.3%
ValueCountFrequency (%)
51
 
0.1%
81
 
0.1%
92
0.2%
103
0.3%
113
0.3%
ValueCountFrequency (%)
181
 
0.1%
141
 
0.1%
132
0.2%
121
 
0.1%
113
0.3%

VABS_Aut
Real number (ℝ≥0)

MISSING

Distinct80
Distinct (%)13.5%
Missing285
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean60.72175379
Minimum20
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:46.755147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q151
median63
Q375
95-th percentile87.4
Maximum111
Range91
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.13655981
Coefficient of variation (CV)0.315151632
Kurtosis-0.1673689341
Mean60.72175379
Median Absolute Deviation (MAD)12
Skewness-0.5564911391
Sum36008
Variance366.2079212
MonotonicityNot monotonic
2022-12-16T17:31:46.906843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2045
 
5.1%
6420
 
2.3%
6317
 
1.9%
7517
 
1.9%
7216
 
1.8%
6016
 
1.8%
6216
 
1.8%
6615
 
1.7%
5415
 
1.7%
7015
 
1.7%
Other values (70)401
45.7%
(Missing)285
32.5%
ValueCountFrequency (%)
2045
5.1%
221
 
0.1%
231
 
0.1%
243
 
0.3%
252
 
0.2%
ValueCountFrequency (%)
1111
0.1%
1021
0.1%
1011
0.1%
1001
0.1%
991
0.1%

VABS_Com
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)15.5%
Missing285
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean63.94940978
Minimum20
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:47.059768image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q148
median65
Q380
95-th percentile97
Maximum121
Range101
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.19106537
Coefficient of variation (CV)0.3470096979
Kurtosis-0.5898867639
Mean63.94940978
Median Absolute Deviation (MAD)16
Skewness-0.147282823
Sum37922
Variance492.4433823
MonotonicityNot monotonic
2022-12-16T17:31:47.217287image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2033
 
3.8%
6217
 
1.9%
7415
 
1.7%
7915
 
1.7%
8014
 
1.6%
6913
 
1.5%
7512
 
1.4%
8512
 
1.4%
9212
 
1.4%
7711
 
1.3%
Other values (82)439
50.0%
(Missing)285
32.5%
ValueCountFrequency (%)
2033
3.8%
211
 
0.1%
243
 
0.3%
252
 
0.2%
262
 
0.2%
ValueCountFrequency (%)
1211
0.1%
1182
0.2%
1141
0.1%
1131
0.1%
1121
0.1%

CP_Global_Vin
Real number (ℝ≥0)

MISSING

Distinct81
Distinct (%)13.7%
Missing287
Missing (%)32.7%
Infinite0
Infinite (%)0.0%
Mean59.75516074
Minimum7.3
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:47.376088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile22.5
Q149
median61
Q374
95-th percentile87.5
Maximum110
Range102.7
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.36955208
Coefficient of variation (CV)0.3074136502
Kurtosis-0.2378165356
Mean59.75516074
Median Absolute Deviation (MAD)12
Skewness-0.3213483733
Sum35315.3
Variance337.4404437
MonotonicityNot monotonic
2022-12-16T17:31:47.539043image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2024
 
2.7%
5818
 
2.1%
6117
 
1.9%
5117
 
1.9%
4917
 
1.9%
7617
 
1.9%
7516
 
1.8%
5716
 
1.8%
6716
 
1.8%
7016
 
1.8%
Other values (71)417
47.5%
(Missing)287
32.7%
ValueCountFrequency (%)
7.31
 
0.1%
2024
2.7%
213
 
0.3%
222
 
0.2%
231
 
0.1%
ValueCountFrequency (%)
1101
0.1%
1081
0.1%
1031
0.1%
1021
0.1%
992
0.2%

CP_Motricidade_Vin
Real number (ℝ≥0)

MISSING

Distinct64
Distinct (%)34.0%
Missing690
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean76.00531915
Minimum36
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:47.724271image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile48.35
Q161.75
median76
Q390
95-th percentile104
Maximum124
Range88
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation17.73226231
Coefficient of variation (CV)0.2333029123
Kurtosis-0.7864210215
Mean76.00531915
Median Absolute Deviation (MAD)14
Skewness0.1193127249
Sum14289
Variance314.4331266
MonotonicityNot monotonic
2022-12-16T17:31:47.874242image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
657
 
0.8%
847
 
0.8%
607
 
0.8%
706
 
0.7%
646
 
0.7%
906
 
0.7%
546
 
0.7%
616
 
0.7%
825
 
0.6%
765
 
0.6%
Other values (54)127
 
14.5%
(Missing)690
78.6%
ValueCountFrequency (%)
361
 
0.1%
411
 
0.1%
451
 
0.1%
463
0.3%
472
0.2%
ValueCountFrequency (%)
1241
 
0.1%
1111
 
0.1%
1103
0.3%
1073
0.3%
1051
 
0.1%

VABS_Soc
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)12.3%
Missing283
Missing (%)32.2%
Infinite0
Infinite (%)0.0%
Mean66.33109244
Minimum20
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:48.028292image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile35.7
Q155
median67
Q378
95-th percentile94
Maximum109
Range89
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.27290237
Coefficient of variation (CV)0.2604043102
Kurtosis0.4660099622
Mean66.33109244
Median Absolute Deviation (MAD)11
Skewness-0.4230542724
Sum39467
Variance298.3531562
MonotonicityNot monotonic
2022-12-16T17:31:48.177154image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2020
 
2.3%
6820
 
2.3%
7119
 
2.2%
5818
 
2.1%
7818
 
2.1%
6718
 
2.1%
6618
 
2.1%
6417
 
1.9%
5217
 
1.9%
6917
 
1.9%
Other values (63)413
47.0%
(Missing)283
32.2%
ValueCountFrequency (%)
2020
2.3%
222
 
0.2%
242
 
0.2%
281
 
0.1%
313
 
0.3%
ValueCountFrequency (%)
1092
0.2%
1061
0.1%
1042
0.2%
1012
0.2%
1001
0.1%

Capacidade_Especial
Categorical

HIGH CARDINALITY
MISSING

Distinct68
Distinct (%)10.9%
Missing252
Missing (%)28.7%
Memory size7.0 KiB
Não
487 
Sim_x001D_hiperlexia
 
17
Sim_x001D_Memória
 
9
Sim_x001D_memória visual
 
9
Sim_x001D_memória visual_x001D_memória auditiva
 
8
Other values (63)
96 

Unique

Unique48 ?
Unique (%)7.7%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não487
55.5%
Sim_x001D_hiperlexia17
 
1.9%
Sim_x001D_Memória9
 
1.0%
Sim_x001D_memória visual9
 
1.0%
Sim_x001D_memória visual_x001D_memória auditiva8
 
0.9%
Sim7
 
0.8%
Sim_x001D_memória auditiva_x001D_memória visual6
 
0.7%
Sim_x001D_desenhos5
 
0.6%
memória visual4
 
0.5%
Sim_x001D_memória visual_x001D_hiperlexia3
 
0.3%
Other values (58)71
 
8.1%
(Missing)252
28.7%

Cariótipo
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing83
Missing (%)9.5%
Memory size7.0 KiB
S
791 
N
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S791
90.1%
N4
 
0.5%
(Missing)83
 
9.5%

Karyotype_Result
Categorical

HIGH CARDINALITY
MISSING

Distinct181
Distinct (%)23.1%
Missing94
Missing (%)10.7%
Memory size7.0 KiB
Normal _x001D_FISH cr15-N
283 
Normal
126 
Array CGH- N (46,XY.arr(1-22,)x2,(XY)x1
52 
Array CGH FCT 2012
40 
Normal _x001D_MLPA cr15 - N
 
28
Other values (176)
255 

Unique

Unique150 ?
Unique (%)19.1%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal _x001D_FISH cr15-N283
32.2%
Normal 126
14.4%
Array CGH- N (46,XY.arr(1-22,)x2,(XY)x152
 
5.9%
Array CGH FCT 201240
 
4.6%
Normal _x001D_MLPA cr15 - N28
 
3.2%
Cariótipo normal _x001D_Pack Autism kit P343 (ch15,16,22) e P245 (Microdeletion S) - N _x001D_Subtelomericas - N14
 
1.6%
Cariótipo normal _x001D_Array CGH- N (46,XY.arr(1-22,)x2,(XY)x19
 
1.0%
Cariótipo normal 8
 
0.9%
Array CGH_x001D_Cariótipo normal 6
 
0.7%
Subtelomericas - N_x001D_Pack Autism kit P343 (ch15,16,22) e P245 (Microdeletion S) - N _x001D_Cariótipo normal 6
 
0.7%
Other values (171)212
24.1%
(Missing)94
 
10.7%

Cb_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.2%
Missing647
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean10.25541126
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:48.312288image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q17
median10
Q313
95-th percentile16
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.059305325
Coefficient of variation (CV)0.3958208232
Kurtosis-0.5069525767
Mean10.25541126
Median Absolute Deviation (MAD)3
Skewness-0.1765635753
Sum2369
Variance16.47795972
MonotonicityNot monotonic
2022-12-16T17:31:48.419294image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
723
 
2.6%
1222
 
2.5%
1021
 
2.4%
1321
 
2.4%
1418
 
2.1%
1117
 
1.9%
917
 
1.9%
817
 
1.9%
1614
 
1.6%
514
 
1.6%
Other values (9)47
 
5.4%
(Missing)647
73.7%
ValueCountFrequency (%)
15
 
0.6%
26
0.7%
31
 
0.1%
45
 
0.6%
514
1.6%
ValueCountFrequency (%)
193
 
0.3%
182
 
0.2%
176
0.7%
1614
1.6%
1510
1.1%

Cd_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.4%
Missing648
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean6.543478261
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:48.537661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q14
median7
Q39
95-th percentile11.55
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.255539597
Coefficient of variation (CV)0.4975243238
Kurtosis0.4125428998
Mean6.543478261
Median Absolute Deviation (MAD)2
Skewness0.4558974317
Sum1505
Variance10.59853807
MonotonicityNot monotonic
2022-12-16T17:31:48.643692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
731
 
3.5%
627
 
3.1%
826
 
3.0%
424
 
2.7%
1022
 
2.5%
321
 
2.4%
916
 
1.8%
516
 
1.8%
213
 
1.5%
112
 
1.4%
Other values (7)22
 
2.5%
(Missing)648
73.8%
ValueCountFrequency (%)
112
1.4%
213
1.5%
321
2.4%
424
2.7%
516
1.8%
ValueCountFrequency (%)
191
 
0.1%
171
 
0.1%
151
 
0.1%
143
0.3%
132
0.2%

Com_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.6%
Missing654
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean5.65625
Minimum0
Maximum17
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:48.764089image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.57277401
Coefficient of variation (CV)0.6316506537
Kurtosis-0.3044008822
Mean5.65625
Median Absolute Deviation (MAD)3
Skewness0.5625028593
Sum1267
Variance12.76471413
MonotonicityNot monotonic
2022-12-16T17:31:48.873608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
131
 
3.5%
427
 
3.1%
527
 
3.1%
221
 
2.4%
920
 
2.3%
820
 
2.3%
618
 
2.1%
316
 
1.8%
711
 
1.3%
109
 
1.0%
Other values (7)24
 
2.7%
(Missing)654
74.5%
ValueCountFrequency (%)
01
 
0.1%
131
3.5%
221
2.4%
316
1.8%
427
3.1%
ValueCountFrequency (%)
171
 
0.1%
161
 
0.1%
142
 
0.2%
135
0.6%
128
0.9%

Com_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)66.7%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean5.733333333
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:48.992393image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median5
Q38
95-th percentile11.3
Maximum12
Range11
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.575045787
Coefficient of variation (CV)0.6235544978
Kurtosis-0.8908741694
Mean5.733333333
Median Absolute Deviation (MAD)3
Skewness0.2623205825
Sum86
Variance12.78095238
MonotonicityNot monotonic
2022-12-16T17:31:49.096951image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13
 
0.3%
52
 
0.2%
42
 
0.2%
82
 
0.2%
121
 
0.1%
31
 
0.1%
71
 
0.1%
61
 
0.1%
111
 
0.1%
101
 
0.1%
(Missing)863
98.3%
ValueCountFrequency (%)
13
0.3%
31
 
0.1%
42
0.2%
52
0.2%
61
 
0.1%
ValueCountFrequency (%)
121
0.1%
111
0.1%
101
0.1%
82
0.2%
71
0.1%

Concelho
Categorical

HIGH CARDINALITY

Distinct233
Distinct (%)26.7%
Missing5
Missing (%)0.6%
Memory size7.0 KiB
Coimbra
 
54
Leiria
 
39
Viseu
 
36
Barcelos
 
33
Pombal
 
29
Other values (228)
682 

Unique

Unique107 ?
Unique (%)12.3%

Sample

1st rowVelas - Açores
2nd rowVila Conde
3rd rowPorto
4th rowIlhavo
5th rowAveiro

Common Values

ValueCountFrequency (%)
Coimbra54
 
6.2%
Leiria39
 
4.4%
Viseu36
 
4.1%
Barcelos33
 
3.8%
Pombal29
 
3.3%
Figueira da Foz28
 
3.2%
Aveiro20
 
2.3%
Marinha Grande17
 
1.9%
Caldas da Rainha16
 
1.8%
Lisboa15
 
1.7%
Other values (223)586
66.7%

Consanguinidade
Categorical

MISSING

Distinct16
Distinct (%)1.9%
Missing18
Missing (%)2.1%
Memory size7.0 KiB
Não
833 
Sim
 
7
Sim_x001D_1º grau
 
5
Não_x001D_Não
 
2
Sim_x001D_3º grau
 
2
Other values (11)
 
11

Unique

Unique11 ?
Unique (%)1.3%

Sample

1st rowNão
2nd rowNão
3rd rowNão_x001D_4
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não833
94.9%
Sim7
 
0.8%
Sim_x001D_1º grau5
 
0.6%
Não_x001D_Não2
 
0.2%
Sim_x001D_3º grau2
 
0.2%
2º grau1
 
0.1%
4º grau 1
 
0.1%
Sim_x001D_2º grau1
 
0.1%
Primos 2º grau1
 
0.1%
2º grau_x001D_Sim1
 
0.1%
Other values (6)6
 
0.7%
(Missing)18
 
2.1%

Controle_Esfincteres_Dia
Categorical

MISSING

Distinct42
Distinct (%)6.0%
Missing173
Missing (%)19.7%
Memory size7.0 KiB
36
249 
48
127 
24
86 
30
62 
60
55 
Other values (37)
126 

Unique

Unique21 ?
Unique (%)3.0%

Sample

1st row60
2nd row72
3rd row72
4th row24
5th row24

Common Values

ValueCountFrequency (%)
36249
28.4%
48127
14.5%
2486
 
9.8%
3062
 
7.1%
6055
 
6.3%
4237
 
4.2%
7220
 
2.3%
1815
 
1.7%
547
 
0.8%
404
 
0.5%
Other values (32)43
 
4.9%
(Missing)173
19.7%

Controle_Esfincteres_Noite
Categorical

MISSING

Distinct42
Distinct (%)7.0%
Missing277
Missing (%)31.5%
Memory size7.0 KiB
36
158 
48
129 
60
66 
24
49 
30
36 
Other values (37)
163 

Unique

Unique22 ?
Unique (%)3.7%

Sample

1st row60
2nd row72
3rd row72
4th row24
5th row24

Common Values

ValueCountFrequency (%)
36158
18.0%
48129
14.7%
6066
 
7.5%
2449
 
5.6%
3036
 
4.1%
4235
 
4.0%
7235
 
4.0%
8413
 
1.5%
9611
 
1.3%
5410
 
1.1%
Other values (32)59
 
6.7%
(Missing)277
31.5%

Currículo
Categorical

MISSING

Distinct21
Distinct (%)4.7%
Missing428
Missing (%)48.7%
Memory size7.0 KiB
Comum
200 
Currículo Específico Individual
118 
Funcional
38 
PEI
31 
Profissional
 
18
Other values (16)
45 

Unique

Unique10 ?
Unique (%)2.2%

Sample

1st rowAlternativo
2nd rowFuncional
3rd rowFuncional
4th rowFuncional
5th rowFuncional

Common Values

ValueCountFrequency (%)
Comum200
22.8%
Currículo Específico Individual118
 
13.4%
Funcional38
 
4.3%
PEI31
 
3.5%
Profissional18
 
2.1%
Alternativo11
 
1.3%
Normal9
 
1.0%
Adequações no processo de avaliação7
 
0.8%
Curso Profissional3
 
0.3%
Plano Educativo Individual3
 
0.3%
Other values (11)12
 
1.4%
(Missing)428
48.7%

D.R.E.
Categorical

MISSING

Distinct7
Distinct (%)1.1%
Missing212
Missing (%)24.1%
Memory size7.0 KiB
DREC
344 
DREL
139 
DREN
121 
AÇORES
 
23
DREAlentejo
 
20
Other values (2)
 
19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDREL
2nd rowDREN
3rd rowDREN
4th rowDREC
5th rowDREC

Common Values

ValueCountFrequency (%)
DREC344
39.2%
DREL139
15.8%
DREN121
 
13.8%
AÇORES23
 
2.6%
DREAlentejo20
 
2.3%
DREAlgarve15
 
1.7%
MADEIRA4
 
0.5%
(Missing)212
24.1%

DG_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.3%
Missing649
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean8.406113537
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:49.214946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile16
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.289538192
Coefficient of variation (CV)0.51028792
Kurtosis-0.2547842852
Mean8.406113537
Median Absolute Deviation (MAD)3
Skewness0.3891843329
Sum1925
Variance18.4001379
MonotonicityNot monotonic
2022-12-16T17:31:49.322253image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
829
 
3.3%
1024
 
2.7%
422
 
2.5%
921
 
2.4%
618
 
2.1%
1315
 
1.7%
713
 
1.5%
312
 
1.4%
1211
 
1.3%
511
 
1.3%
Other values (9)53
 
6.0%
(Missing)649
73.9%
ValueCountFrequency (%)
110
1.1%
27
 
0.8%
312
1.4%
422
2.5%
511
1.3%
ValueCountFrequency (%)
196
0.7%
182
 
0.2%
172
 
0.2%
166
0.7%
155
0.6%

BD
Categorical

HIGH CARDINALITY

Distinct822
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2007-04-17 00:00:00
 
2
2003-09-01 00:00:00
 
2
2002-09-25 00:00:00
 
2
1997-04-05 00:00:00
 
2
2008-01-15 00:00:00
 
2
Other values (817)
868 

Unique

Unique766 ?
Unique (%)87.2%

Sample

1st row1991-07-16 00:00:00
2nd row1991-04-06 00:00:00
3rd row1992-04-14 00:00:00
4th row1992-09-28 00:00:00
5th row1991-03-09 00:00:00

Common Values

ValueCountFrequency (%)
2007-04-17 00:00:002
 
0.2%
2003-09-01 00:00:002
 
0.2%
2002-09-25 00:00:002
 
0.2%
1997-04-05 00:00:002
 
0.2%
2008-01-15 00:00:002
 
0.2%
1997-05-20 00:00:002
 
0.2%
2008-06-02 00:00:002
 
0.2%
2009-09-21 00:00:002
 
0.2%
2002-11-30 00:00:002
 
0.2%
2012-01-03 00:00:002
 
0.2%
Other values (812)858
97.7%

DSMIV
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing207
Missing (%)23.6%
Memory size7.0 KiB
S
633 
N
 
38

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S633
72.1%
N38
 
4.3%
(Missing)207
 
23.6%

DSMIV_A
Categorical

MISSING

Distinct23
Distinct (%)3.7%
Missing252
Missing (%)28.7%
Memory size7.0 KiB
1_x000B_2_x000B_3_x000B_4
312 
1_x000B_2_x000B_3
76 
1_x000B_2
75 
1_x000B_2_x000B_4
32 
2_x000B_3
 
25
Other values (18)
106 

Unique

Unique5 ?
Unique (%)0.8%

Sample

1st row1_x000B_2_x000B_3_x000B_4
2nd row1_x000B_2_x000B_3_x000B_4
3rd row1_x000B_2_x000B_3_x000B_4
4th row1_x000B_2
5th row1_x000B_2_x000B_3_x000B_4

Common Values

ValueCountFrequency (%)
1_x000B_2_x000B_3_x000B_4312
35.5%
1_x000B_2_x000B_376
 
8.7%
1_x000B_275
 
8.5%
1_x000B_2_x000B_432
 
3.6%
2_x000B_325
 
2.8%
1_x000B_3_x000B_423
 
2.6%
1_x000B_321
 
2.4%
2_x000B_3_x000B_416
 
1.8%
1_x000B_411
 
1.3%
15
 
0.6%
Other values (13)30
 
3.4%
(Missing)252
28.7%

DSMIV_B
Categorical

MISSING

Distinct30
Distinct (%)4.8%
Missing251
Missing (%)28.6%
Memory size7.0 KiB
1_x000B_4
194 
1_x000B_3_x000B_4
164 
1_x000B_3
48 
1_x000B_2_x000B_3_x000B_4
47 
2_x000B_3_x000B_4
35 
Other values (25)
139 

Unique

Unique11 ?
Unique (%)1.8%

Sample

1st row1_x000B_4
2nd row1_x000B_4
3rd row1_x000B_4
4th row1_x000B_4
5th row1_x000B_4

Common Values

ValueCountFrequency (%)
1_x000B_4194
22.1%
1_x000B_3_x000B_4164
18.7%
1_x000B_348
 
5.5%
1_x000B_2_x000B_3_x000B_447
 
5.4%
2_x000B_3_x000B_435
 
4.0%
1_x000B_2_x000B_326
 
3.0%
2_x000B_320
 
2.3%
2_x000B_418
 
2.1%
1_x000B_213
 
1.5%
1_x000B_2_x000B_412
 
1.4%
Other values (20)50
 
5.7%
(Missing)251
28.6%

DSMIV_C
Categorical

MISSING

Distinct31
Distinct (%)5.0%
Missing258
Missing (%)29.4%
Memory size7.0 KiB
1_x000B_3
165 
3
82 
2_x000B_3
52 
1_x000B_3_x000B_4
50 
1_x000B_2_x000B_3
42 
Other values (26)
229 

Unique

Unique13 ?
Unique (%)2.1%

Sample

1st row1_x000B_2_x000B_3_x000B_4
2nd row1_x000B_2_x000B_3_x000B_4
3rd row1_x000B_2_x000B_3_x000B_4
4th row1_x000B_3_x000B_4
5th row1_x000B_2_x000B_3_x000B_4

Common Values

ValueCountFrequency (%)
1_x000B_3165
18.8%
382
 
9.3%
2_x000B_352
 
5.9%
1_x000B_3_x000B_450
 
5.7%
1_x000B_2_x000B_342
 
4.8%
1_x000B_2_x000B_3_x000B_442
 
4.8%
3_x000B_441
 
4.7%
137
 
4.2%
1_x000B_427
 
3.1%
1_x000B_216
 
1.8%
Other values (21)66
 
7.5%
(Missing)258
29.4%

DSMIV_pré_fluox
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing877
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean10
Minimum10
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:49.438414image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean10
Median Absolute Deviation (MAD)0
Skewnessnan
Sum10
Variancenan
MonotonicityStrictly increasing
2022-12-16T17:31:49.528419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
101
 
0.1%
(Missing)877
99.9%
ValueCountFrequency (%)
101
0.1%
ValueCountFrequency (%)
101
0.1%

DataQDQI
Categorical

HIGH CARDINALITY
MISSING

Distinct687
Distinct (%)89.0%
Missing106
Missing (%)12.1%
Memory size7.0 KiB
2001-06-20
 
5
2001-05-15
 
5
2008-11-11
 
3
2002-01-18
 
3
2006-11-21
 
3
Other values (682)
753 

Unique

Unique616 ?
Unique (%)79.8%

Sample

1st row1999-06-01
2nd row1999-02-08
3rd row1999-09-21
4th row2000-03-03
5th row2000-12-13

Common Values

ValueCountFrequency (%)
2001-06-205
 
0.6%
2001-05-155
 
0.6%
2008-11-113
 
0.3%
2002-01-183
 
0.3%
2006-11-213
 
0.3%
2012-01-033
 
0.3%
2001-09-123
 
0.3%
2004-03-263
 
0.3%
2001-12-123
 
0.3%
2007-01-303
 
0.3%
Other values (677)738
84.1%
(Missing)106
 
12.1%

DataVineabr
Categorical

HIGH CARDINALITY
MISSING

Distinct689
Distinct (%)85.6%
Missing73
Missing (%)8.3%
Memory size7.0 KiB
2001-05-15
 
4
2016-02-15
 
4
2014-04-15
 
3
2006-10-04
 
3
2010-09-21
 
3
Other values (684)
788 

Unique

Unique588 ?
Unique (%)73.0%

Sample

1st row2009-02-25
2nd row1999-02-08
3rd row2003-06-26
4th row2002-07-01
5th row2000-12-13

Common Values

ValueCountFrequency (%)
2001-05-154
 
0.5%
2016-02-154
 
0.5%
2014-04-153
 
0.3%
2006-10-043
 
0.3%
2010-09-213
 
0.3%
2011-01-123
 
0.3%
2014-03-193
 
0.3%
2011-11-093
 
0.3%
2017-09-193
 
0.3%
2017-05-233
 
0.3%
Other values (679)773
88.0%
(Missing)73
 
8.3%

Data_Reav_Griffiths
Categorical

HIGH CARDINALITY
MISSING

Distinct262
Distinct (%)94.2%
Missing600
Missing (%)68.3%
Memory size7.0 KiB
2010-03-30
 
3
2013-12-11
 
2
2011-06-30
 
2
2013-09-10
 
2
2013-06-18
 
2
Other values (257)
267 

Unique

Unique247 ?
Unique (%)88.8%

Sample

1st row2002-02-07
2nd row2004-05-11
3rd row2004-02-23
4th row2004-03-16
5th row2006-03-22

Common Values

ValueCountFrequency (%)
2010-03-303
 
0.3%
2013-12-112
 
0.2%
2011-06-302
 
0.2%
2013-09-102
 
0.2%
2013-06-182
 
0.2%
2013-09-112
 
0.2%
2015-09-292
 
0.2%
2012-01-122
 
0.2%
2013-12-102
 
0.2%
2013-10-302
 
0.2%
Other values (252)257
29.3%
(Missing)600
68.3%

Data_Reav_WISCIII
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing876
Missing (%)99.8%
Memory size7.0 KiB
2014-02-24
2021-08-18

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row2014-02-24
2nd row2021-08-18

Common Values

ValueCountFrequency (%)
2014-02-241
 
0.1%
2021-08-181
 
0.1%
(Missing)876
99.8%

Observation_Date
Categorical

HIGH CARDINALITY
MISSING

Distinct745
Distinct (%)88.7%
Missing38
Missing (%)4.3%
Memory size7.0 KiB
2001-05-15 00:00:00
 
5
2006-09-05 00:00:00
 
4
2001-06-20 00:00:00
 
4
2002-01-18 00:00:00
 
3
2011-12-12 00:00:00
 
3
Other values (740)
821 

Unique

Unique664 ?
Unique (%)79.0%

Sample

1st row1999-06-01 00:00:00
2nd row1999-02-08 00:00:00
3rd row1999-09-21 00:00:00
4th row2000-03-03 00:00:00
5th row2000-12-13 00:00:00

Common Values

ValueCountFrequency (%)
2001-05-15 00:00:005
 
0.6%
2006-09-05 00:00:004
 
0.5%
2001-06-20 00:00:004
 
0.5%
2002-01-18 00:00:003
 
0.3%
2011-12-12 00:00:003
 
0.3%
2014-02-17 00:00:003
 
0.3%
2001-09-12 00:00:003
 
0.3%
2013-06-17 00:00:003
 
0.3%
2002-05-20 00:00:003
 
0.3%
2003-04-28 00:00:003
 
0.3%
Other values (735)806
91.8%
(Missing)38
 
4.3%

Diagnostico_qual
Categorical

MISSING

Distinct10
Distinct (%)19.6%
Missing827
Missing (%)94.2%
Memory size7.0 KiB
Autismo
34 
Atraso
Autismo_x001D_Atraso
Autismo_x001D_epilepsia
 
1
Atraso_x001D_Surdez
 
1
Other values (5)

Unique

Unique7 ?
Unique (%)13.7%

Sample

1st rowAutismo
2nd rowAutismo
3rd rowAutismo
4th rowAutismo
5th rowAtraso

Common Values

ValueCountFrequency (%)
Autismo34
 
3.9%
Atraso6
 
0.7%
Autismo_x001D_Atraso4
 
0.5%
Autismo_x001D_epilepsia1
 
0.1%
Atraso_x001D_Surdez1
 
0.1%
sobredotado1
 
0.1%
P linguagem1
 
0.1%
Atraso_x001D_Epilepsia1
 
0.1%
Asperger_x001D_Autismo1
 
0.1%
Epilepsia1
 
0.1%
(Missing)827
94.2%

Secondary_Diagnosis
Categorical

MISSING

Distinct24
Distinct (%)2.8%
Missing35
Missing (%)4.0%
Memory size7.0 KiB
Sem deficiênciamental (>70)
308 
DM ligeira (50-69)
178 
DM moderada (35-49)
99 
Sem deficiênciamental
83 
DM ligeira a moderada
53 
Other values (19)
122 

Unique

Unique12 ?
Unique (%)1.4%

Sample

1st rowDM severa a profunda
2nd rowDM severa a profunda (<34)
3rd rowDM severa a profunda
4th rowDM severa a profunda
5th rowDM severa a profunda

Common Values

ValueCountFrequency (%)
Sem deficiênciamental (>70)308
35.1%
DM ligeira (50-69)178
20.3%
DM moderada (35-49)99
 
11.3%
Sem deficiênciamental83
 
9.5%
DM ligeira a moderada53
 
6.0%
DM severa a profunda (<34)28
 
3.2%
DM severa a profunda25
 
2.8%
Sem deficiênciamental 21
 
2.4%
Nivel intelectual borderline14
 
1.6%
Nivel funcional desc9
 
1.0%
Other values (14)25
 
2.8%
(Missing)35
 
4.0%

Clinical_Diagnosis
Categorical

MISSING

Distinct7
Distinct (%)14.9%
Missing831
Missing (%)94.6%
Memory size7.0 KiB
Asperger
28 
Epilepsia
Evoluçãonãoautismo
Surdez
 
2
Perturbação tiques
 
2
Other values (2)
 
2

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st rowSurdez
2nd rowEpilepsia
3rd rowSurdez
4th rowAutismoatipico
5th rowEpilepsia

Common Values

ValueCountFrequency (%)
Asperger28
 
3.2%
Epilepsia9
 
1.0%
Evoluçãonãoautismo4
 
0.5%
Surdez2
 
0.2%
Perturbação tiques2
 
0.2%
Autismoatipico1
 
0.1%
Sem deficiênciamental (>70)1
 
0.1%
(Missing)831
94.6%

Diagnóstico_clinico_4
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing877
Missing (%)99.9%
Memory size7.0 KiB
Atraso linguagem expressiva

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowAtraso linguagem expressiva

Common Values

ValueCountFrequency (%)
Atraso linguagem expressiva1
 
0.1%
(Missing)877
99.9%

Diagnóstico_clinico_4_Copy
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)25.0%
Missing874
Missing (%)99.5%
Memory size7.0 KiB
Macrocefalia

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMacrocefalia
2nd rowMacrocefalia
3rd rowMacrocefalia
4th rowMacrocefalia

Common Values

ValueCountFrequency (%)
Macrocefalia 4
 
0.5%
(Missing)874
99.5%
Distinct18
Distinct (%)12.2%
Missing731
Missing (%)83.3%
Memory size7.0 KiB
CNV
84 
D metabólica
13 
Mutação gene
CNV
CNV
 
6
Other values (13)
26 

Unique

Unique8 ?
Unique (%)5.4%

Sample

1st rowD metabólica
2nd rowD metabólica
3rd rowD metabólica
4th rowCNV
5th rowD metabólica

Common Values

ValueCountFrequency (%)
CNV84
 
9.6%
D metabólica13
 
1.5%
Mutação gene9
 
1.0%
CNV 9
 
1.0%
CNV 6
 
0.7%
CNVs5
 
0.6%
Prematuridade inf 1500 gramas5
 
0.6%
Duplicação gene4
 
0.5%
Cromossomopatia2
 
0.2%
S Dismórfico, genético X2
 
0.2%
Other values (8)8
 
0.9%
(Missing)731
83.3%
Distinct37
Distinct (%)29.6%
Missing753
Missing (%)85.8%
Memory size7.0 KiB
CNV Loss
37 
CNV Gain
32 
mitocondrial definitiva
ATRXdupXq21.1
CNV gain
Other values (32)
39 

Unique

Unique27 ?
Unique (%)21.6%

Sample

1st rowmitocondrial provavel
2nd rowmitocondrial possivel
3rd rowmitocondrial definitiva
4th rowmitocondrial possivel
5th rowmutação NLGN4

Common Values

ValueCountFrequency (%)
CNV Loss37
 
4.2%
CNV Gain32
 
3.6%
mitocondrial definitiva8
 
0.9%
ATRXdupXq21.15
 
0.6%
CNV gain4
 
0.5%
mitocondrial possivel3
 
0.3%
NRXN13
 
0.3%
CNV loss2
 
0.2%
mutação NLGN42
 
0.2%
KCNQ3-mutation 2
 
0.2%
Other values (27)27
 
3.1%
(Missing)753
85.8%

Diagnóstico_etiológico_3
Categorical

HIGH CARDINALITY
MISSING

Distinct74
Distinct (%)91.4%
Missing797
Missing (%)90.8%
Memory size7.0 KiB
significado clinico incerto
 
6
9q21.13 ANXA1
 
2
significado clinico desconhecido
 
2
1p23.1 (158,530,023-158,885,029)x1; 355Kb; 10 genes 2 OMIM(spta1 e mnda), 1 OMIM Morbid Map (spta1), IIIA pat
 
1
13(q12.11)(20,246,074-20,482,767)x2, 236Kb, 3 genes, 2 OMIM-MPHOSPH8 , PSPC1), classe IIIA
 
1
Other values (69)
69 

Unique

Unique71 ?
Unique (%)87.7%

Sample

1st row5q23.1mother
2nd row2p16.3
3rd rowarraymlpa15q13.2-15q13.3
4th row15q25.2
5th row9q21.13 ANXA1

Common Values

ValueCountFrequency (%)
significado clinico incerto6
 
0.7%
9q21.13 ANXA1 2
 
0.2%
significado clinico desconhecido2
 
0.2%
1p23.1 (158,530,023-158,885,029)x1; 355Kb; 10 genes 2 OMIM(spta1 e mnda), 1 OMIM Morbid Map (spta1), IIIA pat1
 
0.1%
13(q12.11)(20,246,074-20,482,767)x2, 236Kb, 3 genes, 2 OMIM-MPHOSPH8 , PSPC1), classe IIIA1
 
0.1%
10q11.22q11.23(49,390,075-52,432,990)x3; 3Mb; 33 genes, 14 OMIM_x000B_(613323-frmpd2, 601158-mapk8, 610585-arhgap22,613316-wdfy4,606701-drgx,609413-ercc6,118490-chat,60336-slc18a3,603501-parg, 157145-msmb, 601984-ncoa4,605034-timm23,611202-asah2,611573-sgms1) e 4 genes OMIM Morbid map (609413-ercc6, 118490-chat,157145-msmb, 601984-ncoa4), CLASSE II_x000B_1
 
0.1%
Xp21.2(30,875,237-31,069,736)x2, 194kb, gene TAB3 (OMIM ID-300480)_x000B_mat1
 
0.1%
9p24.3, 204 104-459076)x3; 254Kb, 2 genea, 1 OMIM Mornid Map-611432-DOCK8_x000B_Classe III A,1
 
0.1%
2 triplicações 10(q21.1 e 22q11.22 significado clinico desconhecido pat1
 
0.1%
significado clinico desconhecido 1
 
0.1%
Other values (64)64
 
7.3%
(Missing)797
90.8%

Main_Diagnosis
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Autismo1
761 
Autismoatipico
104 
Autismoduvidoso
 
12
Evoluçãonãoautismo
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowAutismo1
2nd rowAutismo1
3rd rowAutismo1
4th rowAutismo1
5th rowAutismo1

Common Values

ValueCountFrequency (%)
Autismo1761
86.7%
Autismoatipico104
 
11.8%
Autismoduvidoso12
 
1.4%
Evoluçãonãoautismo1
 
0.1%

Dysmorphysm
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing46
Missing (%)5.2%
Memory size7.0 KiB
N
758 
S
 
74

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
N758
86.3%
S74
 
8.4%
(Missing)46
 
5.2%

Dismorfismos_Especificar
Categorical

HIGH CARDINALITY
MISSING

Distinct58
Distinct (%)61.7%
Missing784
Missing (%)89.3%
Memory size7.0 KiB
Macrocefalia
13 
Não
12 
obesidade
 
4
Obesidade
 
3
Sinais minor_x001D_orelhas
 
2
Other values (53)
60 

Unique

Unique46 ?
Unique (%)48.9%

Sample

1st rowNão
2nd rowHirsutismo_x001D_facies grosseiro_x001D_Sinais minor
3rd row Macrocefalia_x001D_obesidade
4th row Macrocefalia
5th rowPalato alto_x001D_Clinodactilia

Common Values

ValueCountFrequency (%)
Macrocefalia13
 
1.5%
Não12
 
1.4%
obesidade4
 
0.5%
Obesidade3
 
0.3%
Sinais minor_x001D_orelhas2
 
0.2%
Sinais minor_x001D_ Macrocefalia2
 
0.2%
orelhas2
 
0.2%
Microcefalia2
 
0.2%
Sinais minor_x001D_Sinofris2
 
0.2%
macrocefalia relativa e dismorfismos 2
 
0.2%
Other values (48)50
 
5.7%
(Missing)784
89.3%

Distrito
Categorical

Distinct38
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Coimbra
147 
Leiria
145 
Aveiro
91 
Viseu
82 
Braga
63 
Other values (33)
350 

Unique

Unique13 ?
Unique (%)1.5%

Sample

1st rowIlha de São Jorge - Açores
2nd rowPorto
3rd rowPorto
4th rowAveiro
5th rowAveiro

Common Values

ValueCountFrequency (%)
Coimbra147
16.7%
Leiria145
16.5%
Aveiro91
10.4%
Viseu82
9.3%
Braga63
 
7.2%
Santarém53
 
6.0%
Lisboa47
 
5.4%
Castelo Branco36
 
4.1%
Santarem28
 
3.2%
Porto26
 
3.0%
Other values (28)160
18.2%
Distinct22
Distinct (%)2.5%
Missing5
Missing (%)0.6%
Memory size7.0 KiB
Desconhecido
659 
Sim
109 
Desconhecido_x001D__x001D_Invest Completa
 
32
Não
 
29
Duvidoso
 
20
Other values (17)
 
24

Unique

Unique14 ?
Unique (%)1.6%

Sample

1st rowSim_x001D__x001D_mitocondrial provavel
2nd rowDesconhecido_x001D__x001D_Invest Completa
3rd rowSim
4th rowDesconhecido
5th rowDesconhecido_x001D__x001D_Invest Completa

Common Values

ValueCountFrequency (%)
Desconhecido659
75.1%
Sim109
 
12.4%
Desconhecido_x001D__x001D_Invest Completa32
 
3.6%
Não29
 
3.3%
Duvidoso20
 
2.3%
Sim_x001D__x001D_Sim5
 
0.6%
Não investigado3
 
0.3%
Sim_x001D__x001D_CNV Loss 3q11.22
 
0.2%
Sim_x001D__x001D_Mãe portadora mlpa 22 q13.33 (SHANK3,ACR,RABL2B) x31
 
0.1%
Sim_x001D__x001D_CNV Loss Xq281
 
0.1%
Other values (12)12
 
1.4%
(Missing)5
 
0.6%

Doença_Autista
Categorical

MISSING

Distinct3
Distinct (%)0.5%
Missing280
Missing (%)31.9%
Memory size7.0 KiB
S
563 
N
 
32
±
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S563
64.1%
N32
 
3.6%
±3
 
0.3%
(Missing)280
31.9%

Doença_Autista_Nº
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)1.8%
Missing280
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean7.804347826
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:49.649390image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum12
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.599889389
Coefficient of variation (CV)0.2049997546
Kurtosis0.1491416672
Mean7.804347826
Median Absolute Deviation (MAD)1
Skewness-0.1877955308
Sum4667
Variance2.559646056
MonotonicityNot monotonic
2022-12-16T17:31:49.757686image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8136
15.5%
9133
15.1%
7119
13.6%
698
 
11.2%
1058
 
6.6%
519
 
2.2%
1116
 
1.8%
49
 
1.0%
125
 
0.6%
34
 
0.5%
(Missing)280
31.9%
ValueCountFrequency (%)
21
 
0.1%
34
 
0.5%
49
 
1.0%
519
 
2.2%
698
11.2%
ValueCountFrequency (%)
125
 
0.6%
1116
 
1.8%
1058
6.6%
9133
15.1%
8136
15.5%

Doenças
Categorical

HIGH CARDINALITY

Distinct119
Distinct (%)13.7%
Missing8
Missing (%)0.9%
Memory size7.0 KiB
Não
663 
Sim_x001D_Convulsões/ Epilepsia
 
28
Sim_x001D_Infecção ORL repetidas
 
16
Sim_x001D_Asma
 
14
Sim_x001D_Otites de repetição
 
7
Other values (114)
142 

Unique

Unique102 ?
Unique (%)11.7%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowSim_x001D_Convulsões/ Epilepsia
5th rowSim_x001D_Convulsões/ Epilepsia

Common Values

ValueCountFrequency (%)
Não663
75.5%
Sim_x001D_Convulsões/ Epilepsia28
 
3.2%
Sim_x001D_Infecção ORL repetidas16
 
1.8%
Sim_x001D_Asma14
 
1.6%
Sim_x001D_Otites de repetição7
 
0.8%
Infecção ORL repetidas_x001D_Sim6
 
0.7%
Sim5
 
0.6%
Sim_x001D_Infecção ORL repetidas_x001D_outras4
 
0.5%
Sim_x001D_Convulsões febris4
 
0.5%
Asma_x001D_Sim4
 
0.5%
Other values (109)119
 
13.6%
(Missing)8
 
0.9%

Drogas
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing34
Missing (%)3.9%
Memory size7.0 KiB
N
841 
S
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N841
95.8%
S3
 
0.3%
(Missing)34
 
3.9%

EEG_resultado
Categorical

MISSING

Distinct41
Distinct (%)26.3%
Missing722
Missing (%)82.2%
Memory size7.0 KiB
Normal
105 
Alterado
 
9
Alterado_x001D_Disturbio cerebral generalizado paroxistico
 
2
Foco paroxistico_x001D_Alterado
 
2
Alterado_x001D_Paroxismos irritativos
 
2
Other values (36)
36 

Unique

Unique36 ?
Unique (%)23.1%

Sample

1st rowNormal
2nd rowNormal
3rd rowAlterado_x001D_Foco paroxistico
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal105
 
12.0%
Alterado9
 
1.0%
Alterado_x001D_Disturbio cerebral generalizado paroxistico2
 
0.2%
Foco paroxistico_x001D_Alterado2
 
0.2%
Alterado_x001D_Paroxismos irritativos2
 
0.2%
rara actividade frontal dir1
 
0.1%
Alterado_x001D_Traçado monótono mal estruturado com alguns elementos paroxisticos bitemporais1
 
0.1%
Hospital D. Estefânia1
 
0.1%
actividade paroxística focal, com predominio frontal direito1
 
0.1%
Alterado_x001D_Foco centro parietal bilateral1
 
0.1%
Other values (31)31
 
3.5%
(Missing)722
82.2%

EN_Preferencia_mão
Categorical

MISSING

Distinct4
Distinct (%)0.6%
Missing160
Missing (%)18.2%
Memory size7.0 KiB
Dta
550 
Ind
104 
Esq
63 
??
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDta
2nd rowInd
3rd rowEsq
4th rowInd
5th rowInd

Common Values

ValueCountFrequency (%)
Dta550
62.6%
Ind104
 
11.8%
Esq63
 
7.2%
??1
 
0.1%
(Missing)160
 
18.2%

Est
Categorical

HIGH CARDINALITY
MISSING

Distinct82
Distinct (%)10.3%
Missing85
Missing (%)9.7%
Memory size7.0 KiB
50
118 
49
110 
48
76 
51
73 
49.5
42 
Other values (77)
374 

Unique

Unique48 ?
Unique (%)6.1%

Sample

1st row?
2nd row90 53
3rd row10-2546.5
4th row75- 49
5th row75 49

Common Values

ValueCountFrequency (%)
50118
13.4%
49110
12.5%
4876
 
8.7%
5173
 
8.3%
49.542
 
4.8%
50.541
 
4.7%
5236
 
4.1%
48.535
 
4.0%
47.530
 
3.4%
4627
 
3.1%
Other values (72)205
23.3%
(Missing)85
9.7%

Est.12M
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)44.1%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean76.06470588
Minimum59.5
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:50.086447image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum59.5
5-th percentile72
Q174.5
median76
Q378
95-th percentile80.26
Maximum83
Range23.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.264177559
Coefficient of variation (CV)0.04291316874
Kurtosis8.830126226
Mean76.06470588
Median Absolute Deviation (MAD)2
Skewness-1.869433471
Sum5172.4
Variance10.65485514
MonotonicityNot monotonic
2022-12-16T17:31:50.214807image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
778
 
0.9%
756
 
0.7%
765
 
0.6%
745
 
0.6%
785
 
0.6%
724
 
0.5%
78.54
 
0.5%
75.53
 
0.3%
74.53
 
0.3%
79.53
 
0.3%
Other values (20)22
 
2.5%
(Missing)810
92.3%
ValueCountFrequency (%)
59.51
 
0.1%
70.51
 
0.1%
711
 
0.1%
724
0.5%
732
0.2%
ValueCountFrequency (%)
831
0.1%
811
0.1%
80.51
0.1%
80.41
0.1%
801
0.1%

Est.15M
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)38.1%
Missing815
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean79.48571429
Minimum64.5
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:50.339977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum64.5
5-th percentile76
Q177.75
median79.5
Q382
95-th percentile83.5
Maximum86
Range21.5
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.197875159
Coefficient of variation (CV)0.04023207425
Kurtosis6.640834896
Mean79.48571429
Median Absolute Deviation (MAD)2
Skewness-1.569255851
Sum5007.6
Variance10.22640553
MonotonicityNot monotonic
2022-12-16T17:31:50.453283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
829
 
1.0%
785
 
0.6%
775
 
0.6%
805
 
0.6%
78.54
 
0.5%
79.54
 
0.5%
814
 
0.5%
793
 
0.3%
76.53
 
0.3%
77.53
 
0.3%
Other values (14)18
 
2.1%
(Missing)815
92.8%
ValueCountFrequency (%)
64.51
 
0.1%
731
 
0.1%
751
 
0.1%
762
0.2%
76.53
0.3%
ValueCountFrequency (%)
861
0.1%
84.51
0.1%
841
0.1%
83.52
0.2%
832
0.2%

Est.18M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)37.9%
Missing812
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean82.73636364
Minimum71
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:50.572460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile78
Q181
median83
Q384.65
95-th percentile87
Maximum88
Range17
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation3.19695222
Coefficient of variation (CV)0.0386402312
Kurtosis1.755955706
Mean82.73636364
Median Absolute Deviation (MAD)2
Skewness-0.8442649707
Sum5460.6
Variance10.2205035
MonotonicityNot monotonic
2022-12-16T17:31:50.685853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
847
 
0.8%
806
 
0.7%
816
 
0.7%
835
 
0.6%
865
 
0.6%
83.53
 
0.3%
823
 
0.3%
81.53
 
0.3%
873
 
0.3%
883
 
0.3%
Other values (15)22
 
2.5%
(Missing)812
92.5%
ValueCountFrequency (%)
711
0.1%
751
0.1%
76.81
0.1%
782
0.2%
792
0.2%
ValueCountFrequency (%)
883
0.3%
873
0.3%
86.61
 
0.1%
86.52
 
0.2%
865
0.6%

Est.24M
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)38.2%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean88.22058824
Minimum75
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:50.812056image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile83.175
Q186.375
median88.25
Q390
95-th percentile93
Maximum99
Range24
Interquartile range (IQR)3.625

Descriptive statistics

Standard deviation3.545632538
Coefficient of variation (CV)0.04019053386
Kurtosis2.690209987
Mean88.22058824
Median Absolute Deviation (MAD)1.75
Skewness-0.4776443178
Sum5999
Variance12.5715101
MonotonicityNot monotonic
2022-12-16T17:31:50.939505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
889
 
1.0%
908
 
0.9%
926
 
0.7%
875
 
0.6%
844
 
0.5%
894
 
0.5%
88.54
 
0.5%
864
 
0.5%
853
 
0.3%
932
 
0.2%
Other values (16)19
 
2.2%
(Missing)810
92.3%
ValueCountFrequency (%)
751
0.1%
811
0.1%
81.81
0.1%
831
0.1%
83.51
0.1%
ValueCountFrequency (%)
991
 
0.1%
942
 
0.2%
932
 
0.2%
926
0.7%
91.51
 
0.1%

Est.2M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)35.7%
Missing808
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean56.51142857
Minimum35
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:51.062705image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile52.725
Q155
median57
Q358.5
95-th percentile60.275
Maximum63
Range28
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.658880119
Coefficient of variation (CV)0.06474584366
Kurtosis16.63155605
Mean56.51142857
Median Absolute Deviation (MAD)2
Skewness-3.035573356
Sum3955.8
Variance13.38740373
MonotonicityNot monotonic
2022-12-16T17:31:51.178076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5610
 
1.1%
587
 
0.8%
597
 
0.8%
576
 
0.7%
605
 
0.6%
555
 
0.6%
534
 
0.5%
57.54
 
0.5%
54.52
 
0.2%
58.52
 
0.2%
Other values (15)18
 
2.1%
(Missing)808
92.0%
ValueCountFrequency (%)
351
 
0.1%
491
 
0.1%
50.51
 
0.1%
52.51
 
0.1%
534
0.5%
ValueCountFrequency (%)
631
 
0.1%
621
 
0.1%
60.52
 
0.2%
605
0.6%
59.51
 
0.1%

Est.36M
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)41.8%
Missing811
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean97.22985075
Minimum83
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:51.310058image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile90.65
Q195
median97.5
Q399.9
95-th percentile103.7
Maximum105
Range22
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation4.098928719
Coefficient of variation (CV)0.04215710183
Kurtosis1.493873434
Mean97.22985075
Median Absolute Deviation (MAD)2.5
Skewness-0.7808311323
Sum6514.4
Variance16.80121664
MonotonicityNot monotonic
2022-12-16T17:31:51.429093image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
977
 
0.8%
996
 
0.7%
985
 
0.6%
1005
 
0.6%
945
 
0.6%
1014
 
0.5%
1043
 
0.3%
953
 
0.3%
97.53
 
0.3%
963
 
0.3%
Other values (18)23
 
2.6%
(Missing)811
92.4%
ValueCountFrequency (%)
831
0.1%
86.51
0.1%
901
0.1%
90.51
0.1%
911
0.1%
ValueCountFrequency (%)
1051
 
0.1%
1043
0.3%
1032
0.2%
102.51
 
0.1%
1021
 
0.1%

Est.4M
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)41.2%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean63.01176471
Minimum45
Maximum68.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:51.547008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile58.28
Q161.375
median64
Q365
95-th percentile67.325
Maximum68.4
Range23.4
Interquartile range (IQR)3.625

Descriptive statistics

Standard deviation3.478957187
Coefficient of variation (CV)0.05521123243
Kurtosis9.693802636
Mean63.01176471
Median Absolute Deviation (MAD)1.7
Skewness-2.236685611
Sum4284.8
Variance12.10314311
MonotonicityNot monotonic
2022-12-16T17:31:51.673321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
658
 
0.9%
64.57
 
0.8%
665
 
0.6%
62.55
 
0.6%
645
 
0.6%
634
 
0.5%
614
 
0.5%
623
 
0.3%
603
 
0.3%
67.52
 
0.2%
Other values (18)22
 
2.5%
(Missing)810
92.3%
ValueCountFrequency (%)
451
0.1%
55.31
0.1%
57.51
0.1%
581
0.1%
58.81
0.1%
ValueCountFrequency (%)
68.41
 
0.1%
681
 
0.1%
67.52
 
0.2%
672
 
0.2%
665
0.6%

Est.6M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)36.2%
Missing809
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean67.5
Minimum50.5
Maximum72.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:51.801222image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum50.5
5-th percentile62.7
Q166
median68
Q369.5
95-th percentile70.8
Maximum72.5
Range22
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.179622619
Coefficient of variation (CV)0.04710552028
Kurtosis10.87821303
Mean67.5
Median Absolute Deviation (MAD)2
Skewness-2.386822457
Sum4657.5
Variance10.11
MonotonicityNot monotonic
2022-12-16T17:31:51.917989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6810
 
1.1%
708
 
0.9%
678
 
0.9%
696
 
0.7%
666
 
0.7%
70.54
 
0.5%
62.53
 
0.3%
69.53
 
0.3%
69.22
 
0.2%
652
 
0.2%
Other values (15)17
 
1.9%
(Missing)809
92.1%
ValueCountFrequency (%)
50.51
 
0.1%
62.53
0.3%
632
0.2%
63.51
 
0.1%
63.81
 
0.1%
ValueCountFrequency (%)
72.51
 
0.1%
721
 
0.1%
71.51
 
0.1%
711
 
0.1%
70.54
0.5%

Est.9M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)37.9%
Missing812
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean72.02121212
Minimum66
Maximum76.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:52.039639image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile68.125
Q170.525
median72
Q373.875
95-th percentile75.5
Maximum76.5
Range10.5
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.421538935
Coefficient of variation (CV)0.03362257957
Kurtosis-0.3188973868
Mean72.02121212
Median Absolute Deviation (MAD)1.5
Skewness-0.2526785136
Sum4753.4
Variance5.863850816
MonotonicityNot monotonic
2022-12-16T17:31:52.167212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
757
 
0.8%
716
 
0.7%
725
 
0.6%
735
 
0.6%
72.55
 
0.6%
704
 
0.5%
71.54
 
0.5%
69.53
 
0.3%
743
 
0.3%
73.53
 
0.3%
Other values (15)21
 
2.4%
(Missing)812
92.5%
ValueCountFrequency (%)
661
0.1%
66.51
0.1%
671
0.1%
681
0.1%
68.51
0.1%
ValueCountFrequency (%)
76.51
 
0.1%
762
 
0.2%
75.53
0.3%
757
0.8%
74.51
 
0.1%

Est._P
Categorical

HIGH CARDINALITY
MISSING

Distinct224
Distinct (%)27.9%
Missing76
Missing (%)8.7%
Memory size7.0 KiB
50
 
38
75
 
34
100
 
29
95
 
28
90
 
19
Other values (219)
654 

Unique

Unique101 ?
Unique (%)12.6%

Sample

1st row> 95
2nd rowP75
3rd rowP10
4th row75
5th row25

Common Values

ValueCountFrequency (%)
5038
 
4.3%
7534
 
3.9%
10029
 
3.3%
9528
 
3.2%
9019
 
2.2%
10118
 
2.1%
>9517
 
1.9%
2516
 
1.8%
9616
 
1.8%
10214
 
1.6%
Other values (214)573
65.3%
(Missing)76
 
8.7%

Estatura_(ALTA)
Categorical

HIGH CARDINALITY
MISSING

Distinct52
Distinct (%)55.3%
Missing784
Missing (%)89.3%
Memory size7.0 KiB
178
185
 
6
180
 
6
165
 
5
174
 
4
Other values (47)
66 

Unique

Unique36 ?
Unique (%)38.3%

Sample

1st row178
2nd row174
3rd row169
4th row173
5th row181

Common Values

ValueCountFrequency (%)
1787
 
0.8%
1856
 
0.7%
1806
 
0.7%
1655
 
0.6%
1744
 
0.5%
1694
 
0.5%
1683
 
0.3%
1723
 
0.3%
1573
 
0.3%
1843
 
0.3%
Other values (42)50
 
5.7%
(Missing)784
89.3%

Estudo_genético
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing172
Missing (%)19.6%
Memory size7.0 KiB
S
671 
N
 
35

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S671
76.4%
N35
 
4.0%
(Missing)172
 
19.6%

FG_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)80.0%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean10.66666667
Minimum2
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:52.290326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.8
Q18.5
median11
Q312.5
95-th percentile17.6
Maximum19
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.303929544
Coefficient of variation (CV)0.4034933948
Kurtosis0.4516791355
Mean10.66666667
Median Absolute Deviation (MAD)2
Skewness0.1022284812
Sum160
Variance18.52380952
MonotonicityNot monotonic
2022-12-16T17:31:52.393026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
113
 
0.3%
92
 
0.2%
71
 
0.1%
171
 
0.1%
151
 
0.1%
81
 
0.1%
101
 
0.1%
131
 
0.1%
121
 
0.1%
191
 
0.1%
Other values (2)2
 
0.2%
(Missing)863
98.3%
ValueCountFrequency (%)
21
0.1%
61
0.1%
71
0.1%
81
0.1%
92
0.2%
ValueCountFrequency (%)
191
0.1%
171
0.1%
151
0.1%
131
0.1%
121
0.1%

FM_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)100.0%
Missing873
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean4.8
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:52.501519image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q14
median5
Q36
95-th percentile7.6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.588435821
Coefficient of variation (CV)0.5392574627
Kurtosis0.7952773446
Mean4.8
Median Absolute Deviation (MAD)1
Skewness-0.5016571986
Sum24
Variance6.7
MonotonicityNot monotonic
2022-12-16T17:31:52.604864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
41
 
0.1%
11
 
0.1%
51
 
0.1%
61
 
0.1%
81
 
0.1%
(Missing)873
99.4%
ValueCountFrequency (%)
11
0.1%
41
0.1%
51
0.1%
61
0.1%
81
0.1%
ValueCountFrequency (%)
81
0.1%
61
0.1%
51
0.1%
41
0.1%
11
0.1%

FRAXA_Result
Categorical

MISSING

Distinct8
Distinct (%)1.0%
Missing98
Missing (%)11.2%
Memory size7.0 KiB
Normal
771 
Repetir
 
3
não cultivou
 
1
aguarda
 
1
amostra insuficiente
 
1
Other values (3)
 
3

Unique

Unique6 ?
Unique (%)0.8%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal771
87.8%
Repetir3
 
0.3%
não cultivou1
 
0.1%
aguarda1
 
0.1%
amostra insuficiente1
 
0.1%
Normal 28 repetições CGG1
 
0.1%
Normal (fora)1
 
0.1%
Normal (exterior)1
 
0.1%
(Missing)98
 
11.2%

FRAXE_Result
Categorical

MISSING

Distinct3
Distinct (%)0.8%
Missing489
Missing (%)55.7%
Memory size7.0 KiB
Normal
384 
repetir
 
4
amostra insuficiente
 
1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal384
43.7%
repetir4
 
0.5%
amostra insuficiente1
 
0.1%
(Missing)489
55.7%

GAA
Categorical

MISSING

Distinct15
Distinct (%)2.3%
Missing222
Missing (%)25.3%
Memory size7.0 KiB
sim_x001D_normal
541 
s_x001D_normal
70 
sim
 
18
não
 
6
sim_x001D_alterado repetir_x001D_Repetição -N
 
4
Other values (10)
 
17

Unique

Unique5 ?
Unique (%)0.8%

Sample

1st rows_x001D_normal
2nd rowsim_x001D_normal
3rd rowsim_x001D_normal
4th rows_x001D_normal
5th rowsim_x001D_normal

Common Values

ValueCountFrequency (%)
sim_x001D_normal541
61.6%
s_x001D_normal70
 
8.0%
sim18
 
2.1%
não6
 
0.7%
sim_x001D_alterado repetir_x001D_Repetição -N4
 
0.5%
s_x001D_n3
 
0.3%
sim_x001D_não3
 
0.3%
normal_x001D_sim2
 
0.2%
sim_x001D_alterado repetir2
 
0.2%
2
 
0.2%
Other values (5)5
 
0.6%
(Missing)222
25.3%
Distinct18
Distinct (%)2.1%
Missing7
Missing (%)0.8%
Memory size7.0 KiB
I
402 
II
270 
III
107 
1
 
26
IV
 
22
Other values (13)
44 

Unique

Unique7 ?
Unique (%)0.8%

Sample

1st rowIV
2nd rowII
3rd rowIII
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I402
45.8%
II270
30.8%
III107
 
12.2%
126
 
3.0%
IV22
 
2.5%
V14
 
1.6%
213
 
1.5%
34
 
0.5%
382
 
0.2%
VI2
 
0.2%
Other values (8)9
 
1.0%
(Missing)7
 
0.8%

Griffiths
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing51
Missing (%)5.8%
Memory size7.0 KiB
S
765 
N
 
62

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S765
87.1%
N62
 
7.1%
(Missing)51
 
5.8%

Griffiths_QD_Global
Real number (ℝ≥0)

MISSING

Distinct111
Distinct (%)14.6%
Missing117
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean71.0151117
Minimum18
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:52.765898image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile32
Q155
median72
Q387
95-th percentile106
Maximum135
Range117
Interquartile range (IQR)32

Descriptive statistics

Standard deviation23.09787516
Coefficient of variation (CV)0.3252529583
Kurtosis-0.5228424624
Mean71.0151117
Median Absolute Deviation (MAD)16
Skewness-0.008880024009
Sum54042.5
Variance533.5118371
MonotonicityNot monotonic
2022-12-16T17:31:52.935030image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7518
 
2.1%
7816
 
1.8%
5816
 
1.8%
8216
 
1.8%
7915
 
1.7%
8015
 
1.7%
7715
 
1.7%
5714
 
1.6%
6513
 
1.5%
8713
 
1.5%
Other values (101)610
69.5%
(Missing)117
 
13.3%
ValueCountFrequency (%)
181
0.1%
201
0.1%
211
0.1%
221
0.1%
22.41
0.1%
ValueCountFrequency (%)
1351
0.1%
1311
0.1%
1301
0.1%
1291
0.1%
1281
0.1%

Griffiths_TM_Joana
Categorical

MISSING

Distinct2
Distinct (%)1.5%
Missing743
Missing (%)84.6%
Memory size7.0 KiB
S
104 
N
31 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowN
5th rowS

Common Values

ValueCountFrequency (%)
S104
 
11.8%
N31
 
3.5%
(Missing)743
84.6%

Psyc_Family_Hist
Categorical

MISSING

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.9%
Memory size7.0 KiB
N
481 
S
377 
outro
 
3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowN
3rd rowS
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
N481
54.8%
S377
42.9%
outro3
 
0.3%
(Missing)17
 
1.9%

IC_Reav_Griffiths
Real number (ℝ)

MISSING

Distinct85
Distinct (%)28.5%
Missing580
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean-1537.996644
Minimum-24176
Maximum125
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)2.3%
Memory size7.0 KiB
2022-12-16T17:31:53.096881image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24176
5-th percentile-23958
Q161
median78.5
Q391
95-th percentile105
Maximum125
Range24301
Interquartile range (IQR)30

Descriptive statistics

Standard deviation6037.161496
Coefficient of variation (CV)-3.925341137
Kurtosis10.16191023
Mean-1537.996644
Median Absolute Deviation (MAD)15.5
Skewness-3.477572236
Sum-458323
Variance36447318.93
MonotonicityNot monotonic
2022-12-16T17:31:53.268184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8711
 
1.3%
8610
 
1.1%
969
 
1.0%
739
 
1.0%
948
 
0.9%
837
 
0.8%
987
 
0.8%
607
 
0.8%
797
 
0.8%
687
 
0.8%
Other values (75)216
 
24.6%
(Missing)580
66.1%
ValueCountFrequency (%)
-241761
0.1%
-241011
0.1%
-240762
0.2%
-240451
0.1%
-240282
0.2%
ValueCountFrequency (%)
1251
0.1%
1241
0.1%
1171
0.1%
1112
0.2%
1101
0.1%

IC_Reav_WISCIII
Real number (ℝ)

MISSING

Distinct22
Distinct (%)66.7%
Missing845
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean-22554.72727
Minimum-24176
Maximum174
Zeros0
Zeros (%)0.0%
Negative31
Negative (%)3.5%
Memory size7.0 KiB
2022-12-16T17:31:53.410647image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24176
5-th percentile-24086
Q1-24052
median-24017
Q3-23965
95-th percentile-14290
Maximum174
Range24350
Interquartile range (IQR)87

Descriptive statistics

Standard deviation5861.961725
Coefficient of variation (CV)-0.2598994727
Kurtosis13.73281306
Mean-22554.72727
Median Absolute Deviation (MAD)44
Skewness3.860191772
Sum-744306
Variance34362595.27
MonotonicityNot monotonic
2022-12-16T17:31:53.536976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-240524
 
0.5%
-239843
 
0.3%
-240653
 
0.3%
-239582
 
0.2%
-240762
 
0.2%
-240282
 
0.2%
-239362
 
0.2%
-241761
 
0.1%
1741
 
0.1%
-240611
 
0.1%
Other values (12)12
 
1.4%
(Missing)845
96.2%
ValueCountFrequency (%)
-241761
 
0.1%
-241011
 
0.1%
-240762
0.2%
-240653
0.3%
-240611
 
0.1%
ValueCountFrequency (%)
1741
0.1%
1671
0.1%
-239281
0.1%
-239362
0.2%
-239531
0.1%

IM_G
Real number (ℝ≥0)

MISSING

Distinct89
Distinct (%)11.7%
Missing120
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean40.89023747
Minimum13
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:53.682623image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19
Q129
median38
Q351
95-th percentile70
Maximum93
Range80
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.43962606
Coefficient of variation (CV)0.402042812
Kurtosis-0.1138192139
Mean40.89023747
Median Absolute Deviation (MAD)11
Skewness0.6704650806
Sum30994.8
Variance270.2613048
MonotonicityNot monotonic
2022-12-16T17:31:53.835302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3029
 
3.3%
2929
 
3.3%
3726
 
3.0%
2523
 
2.6%
3322
 
2.5%
3821
 
2.4%
3118
 
2.1%
4118
 
2.1%
3217
 
1.9%
1917
 
1.9%
Other values (79)538
61.3%
(Missing)120
 
13.7%
ValueCountFrequency (%)
132
 
0.2%
143
0.3%
155
0.6%
15.41
 
0.1%
15.51
 
0.1%
ValueCountFrequency (%)
931
0.1%
922
0.2%
882
0.2%
871
0.1%
851
0.1%

IM_L
Real number (ℝ≥0)

MISSING

Distinct89
Distinct (%)11.8%
Missing124
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean34.06710875
Minimum5
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:54.248396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q117.125
median28
Q348
95-th percentile72
Maximum98
Range93
Interquartile range (IQR)30.875

Descriptive statistics

Standard deviation20.10574516
Coefficient of variation (CV)0.5901805553
Kurtosis-0.335339645
Mean34.06710875
Median Absolute Deviation (MAD)12.75
Skewness0.7921431239
Sum25686.6
Variance404.2409884
MonotonicityNot monotonic
2022-12-16T17:31:54.399307image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2438
 
4.3%
1627
 
3.1%
1726
 
3.0%
1824
 
2.7%
3223
 
2.6%
2220
 
2.3%
4820
 
2.3%
3619
 
2.2%
3019
 
2.2%
1319
 
2.2%
Other values (79)519
59.1%
(Missing)124
 
14.1%
ValueCountFrequency (%)
53
 
0.3%
73
 
0.3%
84
0.5%
98
0.9%
9.51
 
0.1%
ValueCountFrequency (%)
981
 
0.1%
923
0.3%
882
0.2%
863
0.3%
843
0.3%

IM_M
Real number (ℝ≥0)

MISSING

Distinct78
Distinct (%)10.3%
Missing123
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean49.72781457
Minimum17
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:54.560629image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile24
Q138
median48
Q360
95-th percentile80
Maximum100
Range83
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.92393326
Coefficient of variation (CV)0.3403313299
Kurtosis-0.1554385039
Mean49.72781457
Median Absolute Deviation (MAD)12
Skewness0.518324988
Sum37544.5
Variance286.4195171
MonotonicityNot monotonic
2022-12-16T17:31:54.710872image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5039
 
4.4%
4238
 
4.3%
4637
 
4.2%
4436
 
4.1%
4034
 
3.9%
3633
 
3.8%
5432
 
3.6%
5229
 
3.3%
3428
 
3.2%
3827
 
3.1%
Other values (68)422
48.1%
(Missing)123
 
14.0%
ValueCountFrequency (%)
172
0.2%
181
 
0.1%
191
 
0.1%
19.52
0.2%
213
0.3%
ValueCountFrequency (%)
1004
0.5%
982
0.2%
962
0.2%
941
 
0.1%
904
0.5%

IM_O/M
Real number (ℝ≥0)

MISSING

Distinct88
Distinct (%)11.7%
Missing123
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean40.98569536
Minimum11
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:54.869690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile17
Q126
median36
Q352
95-th percentile80
Maximum100
Range89
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.6777246
Coefficient of variation (CV)0.4801120105
Kurtosis0.08076571944
Mean40.98569536
Median Absolute Deviation (MAD)11
Skewness0.945042164
Sum30944.2
Variance387.2128455
MonotonicityNot monotonic
2022-12-16T17:31:55.014401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3840
 
4.6%
3637
 
4.2%
3236
 
4.1%
3434
 
3.9%
4032
 
3.6%
2830
 
3.4%
3030
 
3.4%
2424
 
2.7%
2624
 
2.7%
4621
 
2.4%
Other values (78)447
50.9%
(Missing)123
 
14.0%
ValueCountFrequency (%)
111
 
0.1%
123
0.3%
132
 
0.2%
146
0.7%
14.51
 
0.1%
ValueCountFrequency (%)
1001
 
0.1%
982
0.2%
962
0.2%
943
0.3%
923
0.3%

IM_P/S
Real number (ℝ≥0)

MISSING

Distinct97
Distinct (%)12.8%
Missing123
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean39.40569536
Minimum12
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:55.167273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile17
Q125.75
median38
Q350
95-th percentile70
Maximum96
Range84
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation16.53522185
Coefficient of variation (CV)0.4196150252
Kurtosis-0.02927359933
Mean39.40569536
Median Absolute Deviation (MAD)12
Skewness0.6029813565
Sum29751.3
Variance273.4135617
MonotonicityNot monotonic
2022-12-16T17:31:55.317847image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3834
 
3.9%
4834
 
3.9%
5230
 
3.4%
3229
 
3.3%
4226
 
3.0%
4026
 
3.0%
4625
 
2.8%
4423
 
2.6%
5821
 
2.4%
5620
 
2.3%
Other values (87)487
55.5%
(Missing)123
 
14.0%
ValueCountFrequency (%)
122
0.2%
12.53
0.3%
134
0.5%
13.51
 
0.1%
141
 
0.1%
ValueCountFrequency (%)
962
0.2%
901
 
0.1%
883
0.3%
861
 
0.1%
841
 
0.1%

IM_R
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)11.0%
Missing123
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean45.44940397
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:55.478427image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18.7
Q134
median44
Q354
95-th percentile82
Maximum100
Range90
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.03991328
Coefficient of variation (CV)0.3969229891
Kurtosis0.2715837619
Mean45.44940397
Median Absolute Deviation (MAD)10
Skewness0.6033395843
Sum34314.3
Variance325.4384711
MonotonicityNot monotonic
2022-12-16T17:31:55.630784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4653
 
6.0%
5046
 
5.2%
4846
 
5.2%
4445
 
5.1%
4041
 
4.7%
4236
 
4.1%
3833
 
3.8%
3624
 
2.7%
5224
 
2.7%
2422
 
2.5%
Other values (73)385
43.8%
(Missing)123
 
14.0%
ValueCountFrequency (%)
101
 
0.1%
111
 
0.1%
123
0.3%
133
0.3%
13.51
 
0.1%
ValueCountFrequency (%)
1002
 
0.2%
981
 
0.1%
963
0.3%
942
 
0.2%
925
0.6%

IM_R/P
Real number (ℝ≥0)

MISSING
ZEROS

Distinct97
Distinct (%)14.4%
Missing203
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean32.02133333
Minimum0
Maximum100
Zeros130
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:55.784205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median32
Q346
95-th percentile68.3
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.52902095
Coefficient of variation (CV)0.6723336822
Kurtosis0.03780003279
Mean32.02133333
Median Absolute Deviation (MAD)12
Skewness0.2977209464
Sum21614.4
Variance463.498743
MonotonicityNot monotonic
2022-12-16T17:31:55.937990image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0130
14.8%
3631
 
3.5%
3826
 
3.0%
4824
 
2.7%
2624
 
2.7%
4624
 
2.7%
2224
 
2.7%
3424
 
2.7%
3023
 
2.6%
3223
 
2.6%
Other values (87)322
36.7%
(Missing)203
23.1%
ValueCountFrequency (%)
0130
14.8%
11.41
 
0.1%
121
 
0.1%
151
 
0.1%
162
 
0.2%
ValueCountFrequency (%)
1002
0.2%
961
 
0.1%
941
 
0.1%
922
0.2%
903
0.3%

QDQI_Age
Real number (ℝ)

MISSING

Distinct133
Distinct (%)17.1%
Missing102
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean-61.04510309
Minimum-24101
Maximum228
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)0.5%
Memory size7.0 KiB
2022-12-16T17:31:56.091176image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24101
5-th percentile31
Q142
median54
Q375.25
95-th percentile125
Maximum228
Range24329
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation1728.251747
Coefficient of variation (CV)-28.3110628
Kurtosis190.1236543
Mean-61.04510309
Median Absolute Deviation (MAD)15
Skewness-13.84098756
Sum-47371
Variance2986854.102
MonotonicityNot monotonic
2022-12-16T17:31:56.254560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4926
 
3.0%
3923
 
2.6%
4322
 
2.5%
3620
 
2.3%
4220
 
2.3%
4718
 
2.1%
5618
 
2.1%
3817
 
1.9%
4116
 
1.8%
6116
 
1.8%
Other values (123)580
66.1%
(Missing)102
 
11.6%
ValueCountFrequency (%)
-241011
0.1%
-240762
0.2%
-239531
0.1%
41
0.1%
201
0.1%
ValueCountFrequency (%)
2281
0.1%
1951
0.1%
1921
0.1%
1891
0.1%
1661
0.1%

Idade_Actual
Real number (ℝ≥0)

Distinct34
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.85193622
Minimum3
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:56.402917image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q113
median19
Q324
95-th percentile31
Maximum37
Range34
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.188356202
Coefficient of variation (CV)0.3813059899
Kurtosis-0.7814670349
Mean18.85193622
Median Absolute Deviation (MAD)6
Skewness0.1433987478
Sum16552
Variance51.67246489
MonotonicityNot monotonic
2022-12-16T17:31:56.531181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1348
 
5.5%
2245
 
5.1%
1644
 
5.0%
1943
 
4.9%
1843
 
4.9%
2142
 
4.8%
1239
 
4.4%
1739
 
4.4%
1538
 
4.3%
2336
 
4.1%
Other values (24)461
52.5%
ValueCountFrequency (%)
32
 
0.2%
47
0.8%
56
 
0.7%
67
0.8%
715
1.7%
ValueCountFrequency (%)
371
 
0.1%
354
 
0.5%
347
0.8%
336
0.7%
3213
1.5%

Diag_Age
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)2.8%
Missing262
Missing (%)29.8%
Infinite0
Infinite (%)0.0%
Mean4.465909091
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:56.660465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum18
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.661158159
Coefficient of variation (CV)0.5958827431
Kurtosis2.790080703
Mean4.465909091
Median Absolute Deviation (MAD)1
Skewness1.605821251
Sum2751
Variance7.081762749
MonotonicityNot monotonic
2022-12-16T17:31:56.768386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3173
19.7%
2114
13.0%
4113
12.9%
559
 
6.7%
636
 
4.1%
733
 
3.8%
1020
 
2.3%
918
 
2.1%
815
 
1.7%
1113
 
1.5%
Other values (7)22
 
2.5%
(Missing)262
29.8%
ValueCountFrequency (%)
19
 
1.0%
2114
13.0%
3173
19.7%
4113
12.9%
559
 
6.7%
ValueCountFrequency (%)
181
0.1%
171
0.1%
151
0.1%
142
0.2%
132
0.2%

Idade_Gestacional_
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)2.0%
Missing39
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean38.63766389
Minimum26
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:56.887900image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile36
Q138
median39
Q340
95-th percentile41
Maximum43
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7942662
Coefficient of variation (CV)0.04643826824
Kurtosis7.371455837
Mean38.63766389
Median Absolute Deviation (MAD)1
Skewness-1.834185186
Sum32417
Variance3.219391195
MonotonicityNot monotonic
2022-12-16T17:31:56.992443image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
39219
24.9%
38214
24.4%
40188
21.4%
3773
 
8.3%
4169
 
7.9%
3629
 
3.3%
3411
 
1.3%
4210
 
1.1%
359
 
1.0%
325
 
0.6%
Other values (7)12
 
1.4%
(Missing)39
 
4.4%
ValueCountFrequency (%)
261
 
0.1%
281
 
0.1%
291
 
0.1%
301
 
0.1%
313
0.3%
ValueCountFrequency (%)
431
 
0.1%
4210
 
1.1%
4169
 
7.9%
40188
21.4%
39219
24.9%

Idade_WISCIII
Real number (ℝ≥0)

MISSING

Distinct88
Distinct (%)34.1%
Missing620
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean125.7286822
Minimum73
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:57.133382image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile90.7
Q1113.25
median121.5
Q3134
95-th percentile173.3
Maximum246
Range173
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation24.76622274
Coefficient of variation (CV)0.1969814868
Kurtosis3.184717628
Mean125.7286822
Median Absolute Deviation (MAD)9.5
Skewness1.271065518
Sum32438
Variance613.3657889
MonotonicityNot monotonic
2022-12-16T17:31:57.285169image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11511
 
1.3%
11911
 
1.3%
12211
 
1.3%
1209
 
1.0%
1149
 
1.0%
1179
 
1.0%
1238
 
0.9%
1187
 
0.8%
1287
 
0.8%
1117
 
0.8%
Other values (78)169
 
19.2%
(Missing)620
70.6%
ValueCountFrequency (%)
731
0.1%
751
0.1%
791
0.1%
821
0.1%
841
0.1%
ValueCountFrequency (%)
2461
0.1%
2171
0.1%
2141
0.1%
1932
0.2%
1911
0.1%

Idade_WPPSIR_
Real number (ℝ)

MISSING

Distinct40
Distinct (%)70.2%
Missing821
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean-12607.64912
Minimum-24176
Maximum144
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)3.4%
Memory size7.0 KiB
2022-12-16T17:31:57.438606image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-24176
5-th percentile-24067.2
Q1-24028
median-23936
Q367
95-th percentile77
Maximum144
Range24320
Interquartile range (IQR)24095

Descriptive statistics

Standard deviation12135.65238
Coefficient of variation (CV)-0.9625626682
Kurtosis-2.061876362
Mean-12607.64912
Median Absolute Deviation (MAD)165
Skewness0.1082491585
Sum-718636
Variance147274058.7
MonotonicityNot monotonic
2022-12-16T17:31:57.585008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
-240524
 
0.5%
654
 
0.5%
-239843
 
0.3%
-240653
 
0.3%
662
 
0.2%
-239582
 
0.2%
-239362
 
0.2%
722
 
0.2%
772
 
0.2%
-240282
 
0.2%
Other values (30)31
 
3.5%
(Missing)821
93.5%
ValueCountFrequency (%)
-241761
 
0.1%
-241011
 
0.1%
-240761
 
0.1%
-240653
0.3%
-240611
 
0.1%
ValueCountFrequency (%)
1441
0.1%
1171
0.1%
772
0.2%
762
0.2%
741
0.1%

Idade_de_início
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)3.4%
Missing147
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean23.95348837
Minimum6
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:57.721107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q118
median24
Q324
95-th percentile36
Maximum120
Range114
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.751882053
Coefficient of variation (CV)0.4071174061
Kurtosis19.70997976
Mean23.95348837
Median Absolute Deviation (MAD)6
Skewness3.04210931
Sum17510
Variance95.09920357
MonotonicityNot monotonic
2022-12-16T17:31:57.860236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
24343
39.1%
18126
 
14.4%
3688
 
10.0%
1278
 
8.9%
3018
 
2.1%
1514
 
1.6%
4812
 
1.4%
168
 
0.9%
196
 
0.7%
206
 
0.7%
Other values (15)32
 
3.6%
(Missing)147
16.7%
ValueCountFrequency (%)
61
 
0.1%
91
 
0.1%
111
 
0.1%
1278
8.9%
144
 
0.5%
ValueCountFrequency (%)
1201
 
0.1%
961
 
0.1%
724
0.5%
604
0.5%
501
 
0.1%

Idade_inicio_coincide_com_
Categorical

MISSING

Distinct29
Distinct (%)3.7%
Missing94
Missing (%)10.7%
Memory size7.0 KiB
Nada
752 
Nascimento irmão
 
3
Entrada para o infantário
 
2
nascimento do irmão
 
2
Vacina da Meningite
 
1
Other values (24)
 
24

Unique

Unique25 ?
Unique (%)3.2%

Sample

1st rowNada
2nd rowNada
3rd rowNada
4th rowNada
5th rowNada

Common Values

ValueCountFrequency (%)
Nada752
85.6%
Nascimento irmão3
 
0.3%
Entrada para o infantário2
 
0.2%
nascimento do irmão2
 
0.2%
Vacina da Meningite1
 
0.1%
queda sem coma_x001D_Nada1
 
0.1%
Vacinas_x001D_Sim1
 
0.1%
Aborto da mãe?1
 
0.1%
Mudança de casa1
 
0.1%
Nada ou talvez febre aos 9M1
 
0.1%
Other values (19)19
 
2.2%
(Missing)94
 
10.7%

Incidentes
Categorical

HIGH CARDINALITY
MISSING

Distinct174
Distinct (%)20.3%
Missing20
Missing (%)2.3%
Memory size7.0 KiB
Não
631 
Sim_x001D_Diabetes
 
16
Sim
 
7
Sim_x001D_APP 1º T
 
5
Sim_x001D_Hemorragia 1º T
 
4
Other values (169)
195 

Unique

Unique151 ?
Unique (%)17.6%

Sample

1st rowNão
2nd rowNão
3rd rowSim_x001D_Toxicodependencia_x001D_gravideznão vigiada
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não631
71.9%
Sim_x001D_Diabetes16
 
1.8%
Sim7
 
0.8%
Sim_x001D_APP 1º T5
 
0.6%
Sim_x001D_Hemorragia 1º T4
 
0.5%
Sim_x001D_Gemelar4
 
0.5%
Sim_x001D_APP 2º T4
 
0.5%
Sim_x001D_Diabetes gestacional4
 
0.5%
Sim_x001D_HTA3
 
0.3%
Sim_x001D_APP 3º T3
 
0.3%
Other values (164)177
 
20.2%
(Missing)20
 
2.3%

Inf_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.4%
Missing652
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean8.367256637
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:57.990749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile16
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.592998391
Coefficient of variation (CV)0.548925244
Kurtosis-0.7224419912
Mean8.367256637
Median Absolute Deviation (MAD)3
Skewness0.1417188138
Sum1891
Variance21.09563422
MonotonicityNot monotonic
2022-12-16T17:31:58.095042image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
723
 
2.6%
822
 
2.5%
1020
 
2.3%
120
 
2.3%
1117
 
1.9%
915
 
1.7%
1314
 
1.6%
312
 
1.4%
211
 
1.3%
611
 
1.3%
Other values (9)61
 
6.9%
(Missing)652
74.3%
ValueCountFrequency (%)
120
2.3%
211
1.3%
312
1.4%
410
1.1%
510
1.1%
ValueCountFrequency (%)
193
 
0.3%
181
 
0.1%
175
0.6%
167
0.8%
1510
1.1%

Inf_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)80.0%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean9.933333333
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:58.207086image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16.5
median10
Q313.5
95-th percentile15.9
Maximum18
Range14
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.317186032
Coefficient of variation (CV)0.4346160435
Kurtosis-0.9392144744
Mean9.933333333
Median Absolute Deviation (MAD)4
Skewness0.1999298395
Sum149
Variance18.63809524
MonotonicityNot monotonic
2022-12-16T17:31:58.308722image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
102
 
0.2%
42
 
0.2%
142
 
0.2%
51
 
0.1%
61
 
0.1%
131
 
0.1%
71
 
0.1%
121
 
0.1%
151
 
0.1%
81
 
0.1%
Other values (2)2
 
0.2%
(Missing)863
98.3%
ValueCountFrequency (%)
42
0.2%
51
0.1%
61
0.1%
71
0.1%
81
0.1%
ValueCountFrequency (%)
181
0.1%
151
0.1%
142
0.2%
131
0.1%
121
0.1%

Internamentos_História
Categorical

HIGH CARDINALITY
MISSING

Distinct92
Distinct (%)64.8%
Missing736
Missing (%)83.8%
Memory size7.0 KiB
Adenoidectomia
20 
cirurgia ORL
15 
Convulsão febril
 
7
Convulsões
 
5
Bronquiolite
 
3
Other values (87)
92 

Unique

Unique83 ?
Unique (%)58.5%

Sample

1st row Queimadura mão
2nd rowConvulsões
3rd rowconvulsões aos 9 meses-duraram 1 ano
4th rowEpilepsia
5th rowAdenoidectomia

Common Values

ValueCountFrequency (%)
Adenoidectomia20
 
2.3%
cirurgia ORL15
 
1.7%
Convulsão febril7
 
0.8%
Convulsões5
 
0.6%
Bronquiolite3
 
0.3%
Pielonefrite3
 
0.3%
GEA Des- 8M2
 
0.2%
operado ouvidos_x001D_Adenoidectomia2
 
0.2%
Pneumonia2
 
0.2%
Bronquiolites1
 
0.1%
Other values (82)82
 
9.3%
(Missing)736
83.8%

Irmão_A_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct516
Distinct (%)94.9%
Missing334
Missing (%)38.0%
Memory size7.0 KiB
13A
 
4
18A
 
4
15A
 
3
8A
 
3
meia irmã paterna
 
2
Other values (511)
528 

Unique

Unique494 ?
Unique (%)90.8%

Sample

1st row1997-09-14 00:00:00
2nd row12A
3rd row13A
4th row9/23/1988
5th row1981.05.05

Common Values

ValueCountFrequency (%)
13A4
 
0.5%
18A4
 
0.5%
15A3
 
0.3%
8A3
 
0.3%
meia irmã paterna2
 
0.2%
20A2
 
0.2%
9A (2007)2
 
0.2%
6A (2009)2
 
0.2%
11M2
 
0.2%
21A2
 
0.2%
Other values (506)518
59.0%
(Missing)334
38.0%
Distinct31
Distinct (%)20.0%
Missing723
Missing (%)82.3%
Memory size7.0 KiB
Não
122 
sim_x001D_D chron
 
2
sim_x001D_Alergias
 
2
sim_x001D_D celiaca
 
2
Feocromocitoma
 
1
Other values (26)
26 

Unique

Unique27 ?
Unique (%)17.4%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não122
 
13.9%
sim_x001D_D chron2
 
0.2%
sim_x001D_Alergias2
 
0.2%
sim_x001D_D celiaca2
 
0.2%
Feocromocitoma1
 
0.1%
Trabalho empresa_x000B__x000B_1
 
0.1%
Estudante biomedica1
 
0.1%
meio irmão1
 
0.1%
Belas Artes _x000B_ARTISTA1
 
0.1%
Saudável1
 
0.1%
Other values (21)21
 
2.4%
(Missing)723
82.3%
Distinct4
Distinct (%)0.9%
Missing408
Missing (%)46.5%
Memory size7.0 KiB
Dta
406 
Esq
 
40
Ind
 
22
??
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDta
2nd row??
3rd rowEsq
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta406
46.2%
Esq40
 
4.6%
Ind22
 
2.5%
??2
 
0.2%
(Missing)408
46.5%

Irmão_A_problemas_DPM
Categorical

MISSING

Distinct39
Distinct (%)6.6%
Missing291
Missing (%)33.1%
Memory size7.0 KiB
Não
486 
Sim_x001D_Dificuldades de aprendizagem
 
20
Sim_x001D_Atraso de desenvolvimento
 
9
Sim_x001D_Atraso de linguagem
 
9
Dificuldades de aprendizagem_x001D_Sim
 
8
Other values (34)
55 

Unique

Unique26 ?
Unique (%)4.4%

Sample

1st rowDificuldades de aprendizagem_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowDificuldades de aprendizagem_x001D_Sim

Common Values

ValueCountFrequency (%)
Não486
55.4%
Sim_x001D_Dificuldades de aprendizagem20
 
2.3%
Sim_x001D_Atraso de desenvolvimento9
 
1.0%
Sim_x001D_Atraso de linguagem9
 
1.0%
Dificuldades de aprendizagem_x001D_Sim8
 
0.9%
Sim8
 
0.9%
Sim_x001D_Autismo5
 
0.6%
Dificuldades de aprendizagem4
 
0.5%
Sim_x001D_Defice atenção/hiperactividade3
 
0.3%
Sim_x001D_Autismo_x001D_Defice intelectual3
 
0.3%
Other values (29)32
 
3.6%
(Missing)291
33.1%

Irmão_A_psicopatologia
Categorical

MISSING

Distinct25
Distinct (%)4.3%
Missing292
Missing (%)33.3%
Memory size7.0 KiB
Não
546 
Sim_x001D_Autismo
 
12
Sim
 
4
Sim_x001D_Autismo_x001D_Deficiência mental
 
2
Sim_x001D_Esquizofrenia
 
2
Other values (20)
 
20

Unique

Unique20 ?
Unique (%)3.4%

Sample

1st rowSim_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não546
62.2%
Sim_x001D_Autismo12
 
1.4%
Sim4
 
0.5%
Sim_x001D_Autismo_x001D_Deficiência mental2
 
0.2%
Sim_x001D_Esquizofrenia2
 
0.2%
Sim_x001D_Sim1
 
0.1%
Sim_x001D_Toxicodependencia_x001D_Esquizofrenia1
 
0.1%
Sim_x001D_Perturbação depressiva1
 
0.1%
Asperger_x001D_Sim1
 
0.1%
Não_x001D_Licenciatura Informática1
 
0.1%
Other values (15)15
 
1.7%
(Missing)292
33.3%

Irmão_A_sexo
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing268
Missing (%)30.5%
Memory size7.0 KiB
F
307 
M
303 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
F307
35.0%
M303
34.5%
(Missing)268
30.5%

Irmão_B_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct131
Distinct (%)94.2%
Missing739
Missing (%)84.2%
Memory size7.0 KiB
14A
 
3
1997-04-05 00:00:00
 
2
8A
 
2
16A
 
2
13A
 
2
Other values (126)
128 

Unique

Unique124 ?
Unique (%)89.2%

Sample

1st row1979-10-04 00:00:00
2nd row6A
3rd row2/13/1999
4th row1986.02.01
5th row1992-02-07 00:00:00

Common Values

ValueCountFrequency (%)
14A3
 
0.3%
1997-04-05 00:00:002
 
0.2%
8A2
 
0.2%
16A2
 
0.2%
13A2
 
0.2%
4A2
 
0.2%
6A2
 
0.2%
francisco 25.08.19981
 
0.1%
Frederico 21/12/20131
 
0.1%
Dinis Gemeo1
 
0.1%
Other values (121)121
 
13.8%
(Missing)739
84.2%

Irmão_B_Psicopatologia
Categorical

MISSING

Distinct7
Distinct (%)4.5%
Missing721
Missing (%)82.1%
Memory size7.0 KiB
Não
148 
Sim_x001D_ADHD
 
2
Autismo
 
2
Sim
 
2
Deficiência_x001D_Sim
 
1
Other values (2)
 
2

Unique

Unique3 ?
Unique (%)1.9%

Sample

1st rowDeficiência_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não148
 
16.9%
Sim_x001D_ADHD2
 
0.2%
Autismo2
 
0.2%
Sim2
 
0.2%
Deficiência_x001D_Sim1
 
0.1%
Sim_x001D_Autismo1
 
0.1%
Sim_x001D_P comportamento_x001D_Comp autolesivo1
 
0.1%
(Missing)721
82.1%
Distinct14
Distinct (%)29.8%
Missing831
Missing (%)94.6%
Memory size7.0 KiB
Não
33 
sim_x001D_asma
 
2
Obesidade
 
1
sim_x001D_alergia cutanea
 
1
Faleceu
 
1
Other values (9)

Unique

Unique12 ?
Unique (%)25.5%

Sample

1st rowObesidade
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não33
 
3.8%
sim_x001D_asma2
 
0.2%
Obesidade1
 
0.1%
sim_x001D_alergia cutanea1
 
0.1%
Faleceu1
 
0.1%
sim_x001D_faleceu afogado1
 
0.1%
Curso profissional1
 
0.1%
Saudável1
 
0.1%
meio irmão1
 
0.1%
sim_x001D_Artrite reumatoide1
 
0.1%
Other values (4)4
 
0.5%
(Missing)831
94.6%
Distinct4
Distinct (%)3.6%
Missing766
Missing (%)87.2%
Memory size7.0 KiB
Dta
105 
Ind
 
4
Esq
 
2
Eda
 
1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowDta
2nd rowDta
3rd rowDta
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta105
 
12.0%
Ind4
 
0.5%
Esq2
 
0.2%
Eda1
 
0.1%
(Missing)766
87.2%

Irmão_B_problemas_DPM
Categorical

MISSING

Distinct25
Distinct (%)16.0%
Missing722
Missing (%)82.2%
Memory size7.0 KiB
Não
123 
sim_x001D_Dificuldade de aprendizagem
 
4
Sim_x001D_Dificuldade de aprendizagem
 
3
Sim
 
2
sim
 
2
Other values (20)
22 

Unique

Unique18 ?
Unique (%)11.5%

Sample

1st rowAtraso de desenvolvimento_x001D_Atraso de linguagem_x001D_Epilepsia_x001D_Sim
2nd rowNão
3rd rowNão
4th rowsim_x001D_Dificuldade de aprendizagem
5th rowNão

Common Values

ValueCountFrequency (%)
Não123
 
14.0%
sim_x001D_Dificuldade de aprendizagem4
 
0.5%
Sim_x001D_Dificuldade de aprendizagem3
 
0.3%
Sim2
 
0.2%
sim2
 
0.2%
Sim_x001D_Atraso de linguagem2
 
0.2%
Atraso de linguagem2
 
0.2%
Atraso de desenvolvimento_x001D_Atraso de linguagem_x001D_Epilepsia_x001D_Sim1
 
0.1%
Sim_x001D_Dificuldade de aprendizagem_x001D_Problemas Comportamento1
 
0.1%
sim_x001D_hiperactividade_x001D_prob oposição1
 
0.1%
Other values (15)15
 
1.7%
(Missing)722
82.2%

Irmão_B_sexo
Categorical

MISSING

Distinct2
Distinct (%)1.2%
Missing715
Missing (%)81.4%
Memory size7.0 KiB
F
84 
M
79 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowF
4th rowF
5th rowF

Common Values

ValueCountFrequency (%)
F84
 
9.6%
M79
 
9.0%
(Missing)715
81.4%

Irmão_C_DN
Categorical

MISSING

Distinct33
Distinct (%)100.0%
Missing845
Missing (%)96.2%
Memory size7.0 KiB
2008-08-26 00:00:00
 
1
meia-irmã
 
1
Bruno (2008)
 
1
Helena Dn-2004
 
1
gabriel
 
1
Other values (28)
28 

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row4a
2nd row1996-11-23 00:00:00
3rd rowMarco 18/12/81
4th row1984-10-15 00:00:00
5th row1982-06-17 00:00:00

Common Values

ValueCountFrequency (%)
2008-08-26 00:00:001
 
0.1%
meia-irmã1
 
0.1%
Bruno (2008)1
 
0.1%
Helena Dn-20041
 
0.1%
gabriel1
 
0.1%
Gonçalo 5-5-20161
 
0.1%
Daniela (01-07-1996)1
 
0.1%
Margarida _x000B_DN 20111
 
0.1%
4a1
 
0.1%
Catarina_x000B_DN 20081
 
0.1%
Other values (23)23
 
2.6%
(Missing)845
96.2%

Irmão_C_Psicopatologia
Categorical

MISSING

Distinct4
Distinct (%)11.8%
Missing844
Missing (%)96.1%
Memory size7.0 KiB
Não
31 
Não_x001D_irma gémea di
 
1
SIM_x001D_Autismo
 
1
Sim
 
1

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não31
 
3.5%
Não_x001D_irma gémea di1
 
0.1%
SIM_x001D_Autismo1
 
0.1%
Sim1
 
0.1%
(Missing)844
96.1%
Distinct3
Distinct (%)23.1%
Missing865
Missing (%)98.5%
Memory size7.0 KiB
Não
11 
Saudável
 
1
osteocondromas
 
1

Unique

Unique2 ?
Unique (%)15.4%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não11
 
1.3%
Saudável1
 
0.1%
osteocondromas1
 
0.1%
(Missing)865
98.5%

Irmão_C_problemas_DPM
Categorical

MISSING

Distinct8
Distinct (%)23.5%
Missing844
Missing (%)96.1%
Memory size7.0 KiB
Não
26 
Sim
 
2
Atraso de desenvolvimento
 
1
Dificuldade de aprendizagem
 
1
Sim_x001D_Dificuldade de aprendizagem
 
1
Other values (3)

Unique

Unique6 ?
Unique (%)17.6%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowAtraso de desenvolvimento
5th rowNão

Common Values

ValueCountFrequency (%)
Não26
 
3.0%
Sim2
 
0.2%
Atraso de desenvolvimento1
 
0.1%
Dificuldade de aprendizagem1
 
0.1%
Sim_x001D_Dificuldade de aprendizagem1
 
0.1%
Morte Súbita 4M1
 
0.1%
Sim_x001D_Atraso de linguagem1
 
0.1%
Sim_x001D_P aprendizagem1
 
0.1%
(Missing)844
96.1%

Irmão_C_sexo
Categorical

MISSING

Distinct2
Distinct (%)5.1%
Missing839
Missing (%)95.6%
Memory size7.0 KiB
F
23 
M
16 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowM
4th rowM
5th rowF

Common Values

ValueCountFrequency (%)
F23
 
2.6%
M16
 
1.8%
(Missing)839
95.6%
Distinct14
Distinct (%)22.2%
Missing815
Missing (%)92.8%
Memory size7.0 KiB
Não
50 
4 irmãos_x001D_P aprendizagem
 
1
Sim_x001D_3 irmãos, 1 surdo NS
 
1
Sim_x001D_Vários dificuldade aprendizagem
 
1
sim_x001D_3 irmãos mais velhos saudáveis
 
1
Other values (9)

Unique

Unique13 ?
Unique (%)20.6%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não50
 
5.7%
4 irmãos_x001D_P aprendizagem1
 
0.1%
Sim_x001D_3 irmãos, 1 surdo NS1
 
0.1%
Sim_x001D_Vários dificuldade aprendizagem1
 
0.1%
sim_x001D_3 irmãos mais velhos saudáveis1
 
0.1%
sim_x001D_1 rapaz1
 
0.1%
sim_x001D_P aprendizagem_x001D_Mão Dta_x001D_rapaz1
 
0.1%
meia-irmã - normal_x001D_Não1
 
0.1%
gemeo_x001D_gemeo1
 
0.1%
4 meios irmãos - dois materno, dois paterno, saudaveis1
 
0.1%
Other values (4)4
 
0.5%
(Missing)815
92.8%

Lb_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)66.7%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean9.933333333
Minimum4
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:58.439045image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.1
Q18
median9
Q311.5
95-th percentile15.6
Maximum17
Range13
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.390462814
Coefficient of variation (CV)0.3413217598
Kurtosis0.2759356244
Mean9.933333333
Median Absolute Deviation (MAD)2
Skewness0.5988561749
Sum149
Variance11.4952381
MonotonicityNot monotonic
2022-12-16T17:31:58.554145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
94
 
0.5%
82
 
0.2%
72
 
0.2%
171
 
0.1%
151
 
0.1%
121
 
0.1%
111
 
0.1%
101
 
0.1%
41
 
0.1%
141
 
0.1%
(Missing)863
98.3%
ValueCountFrequency (%)
41
 
0.1%
72
0.2%
82
0.2%
94
0.5%
101
 
0.1%
ValueCountFrequency (%)
171
0.1%
151
0.1%
141
0.1%
121
0.1%
111
0.1%

MD_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)14.4%
Missing760
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean7.855932203
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:58.669534image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile14.15
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.789944915
Coefficient of variation (CV)0.48243096
Kurtosis0.920377587
Mean7.855932203
Median Absolute Deviation (MAD)2
Skewness0.5589453718
Sum927
Variance14.36368246
MonotonicityNot monotonic
2022-12-16T17:31:58.773703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
822
 
2.5%
715
 
1.7%
512
 
1.4%
912
 
1.4%
1010
 
1.1%
119
 
1.0%
37
 
0.8%
17
 
0.8%
66
 
0.7%
134
 
0.5%
Other values (7)14
 
1.6%
(Missing)760
86.6%
ValueCountFrequency (%)
17
0.8%
22
 
0.2%
37
0.8%
43
 
0.3%
512
1.4%
ValueCountFrequency (%)
193
0.3%
171
 
0.1%
161
 
0.1%
151
 
0.1%
143
0.3%

Manchas_cutaneas
Categorical

MISSING

Distinct30
Distinct (%)3.6%
Missing44
Missing (%)5.0%
Memory size7.0 KiB
Não
783 
Sim_x001D_café com leite n1
 
5
Sim_x001D_Hipocromicas
 
5
Não_x001D_Não
 
4
Sim
 
4
Other values (25)
 
33

Unique

Unique20 ?
Unique (%)2.4%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não783
89.2%
Sim_x001D_café com leite n15
 
0.6%
Sim_x001D_Hipocromicas5
 
0.6%
Não_x001D_Não4
 
0.5%
Sim4
 
0.5%
Sim_x001D_Café com leite3
 
0.3%
Sim_x001D_Café com leite/acromica3
 
0.3%
Sim_x001D_café com leite (3 manchas)3
 
0.3%
Sim_x001D_café com leite 12
 
0.2%
café com leite n12
 
0.2%
Other values (20)20
 
2.3%
(Missing)44
 
5.0%

Medicamentos_Quais
Categorical

MISSING

Distinct34
Distinct (%)70.8%
Missing830
Missing (%)94.5%
Memory size7.0 KiB
Antidepressivo
Corticoterapia
insulina
Tiroxina
 
2
Antibiótico
 
2
Other values (29)
30 

Unique

Unique28 ?
Unique (%)58.3%

Sample

1st row?
2nd rowBroncodilatador
3rd rowAntibiótico_x001D_Anti-inflamatório
4th rowAntihipertensores
5th rowneurolépticos

Common Values

ValueCountFrequency (%)
Antidepressivo6
 
0.7%
Corticoterapia4
 
0.5%
insulina4
 
0.5%
Tiroxina2
 
0.2%
Antibiótico2
 
0.2%
Para HTA2
 
0.2%
Ver HC1
 
0.1%
Para a tiroide1
 
0.1%
Anticoagulante injectável_x001D_Mãe trombofilia1
 
0.1%
por PNA1
 
0.1%
Other values (24)24
 
2.7%
(Missing)830
94.5%

Medicação_actual
Categorical

HIGH CARDINALITY
MISSING

Distinct144
Distinct (%)17.0%
Missing33
Missing (%)3.8%
Memory size7.0 KiB
Não
497 
SIM_x001D_Risperidona neur
74 
Sim_x001D_Risperidona neur
 
42
SIM_x001D_Risperidona neur_x001D_neur
 
22
SIM_x001D_Psicoestimulantes
 
8
Other values (139)
202 

Unique

Unique111 ?
Unique (%)13.1%

Sample

1st rowTioridazina _x001D_SIM neur_x001D_risperidona neur
2nd rowMetilfenidato_x001D_Tioridazina neur_x001D_SIM neur
3rd rowNão
4th rowSIM AE_x001D_Carbamazepina_x001D_Valproato de sódio
5th rowSIM neur_x001D_Tioridazina_x001D_levopromazina

Common Values

ValueCountFrequency (%)
Não497
56.6%
SIM_x001D_Risperidona neur74
 
8.4%
Sim_x001D_Risperidona neur42
 
4.8%
SIM_x001D_Risperidona neur_x001D_neur22
 
2.5%
SIM_x001D_Psicoestimulantes8
 
0.9%
SIM_x001D_Risperidona neur_x001D_catapressan6
 
0.7%
Sim_x001D_Melatonina6
 
0.7%
SIM_x001D_Risperidona neur_x001D_AE6
 
0.7%
SIM_x001D_Risperidona neur_x001D_Psicoestimulantes6
 
0.7%
SIM AE_x001D_Valproato de sódio5
 
0.6%
Other values (134)173
 
19.7%
(Missing)33
 
3.8%

Motivo_Consulta
Categorical

HIGH CARDINALITY
MISSING

Distinct185
Distinct (%)21.4%
Missing13
Missing (%)1.5%
Memory size7.0 KiB
Suspeita autismo
340 
Suspeita autismo_x001D_pedido Pediatra
70 
Atraso linguagem
45 
invest ep
37 
Suspeita autismo_x001D_Avaliação psico-educacional
35 
Other values (180)
338 

Unique

Unique138 ?
Unique (%)16.0%

Sample

1st rowAtraso desenvolvimento
2nd rowSuspeita autismo_x001D_Avaliação psico-educacional
3rd rowSuspeita autismo_x001D_Avaliação psico-educacional
4th rowAvaliação psico-educacional_x001D_Suspeita autismo
5th rowSuspeita autismo_x001D_Avaliação psico-educacional_x001D_invest ep

Common Values

ValueCountFrequency (%)
Suspeita autismo340
38.7%
Suspeita autismo_x001D_pedido Pediatra70
 
8.0%
Atraso linguagem45
 
5.1%
invest ep37
 
4.2%
Suspeita autismo_x001D_Avaliação psico-educacional35
 
4.0%
Suspeita autismo_x001D_pedido Dr LB23
 
2.6%
Suspeita autismo_x001D_pedido pais16
 
1.8%
Suspeita de autismo15
 
1.7%
Suspeita autismo_x001D_Pedido MF14
 
1.6%
Suspeita autismo_x001D_Pedido pediatria13
 
1.5%
Other values (175)257
29.3%
(Missing)13
 
1.5%

Mãe_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct680
Distinct (%)94.6%
Missing159
Missing (%)18.1%
Memory size7.0 KiB
1968.01.01
 
4
1963.01.01
 
4
1959.01.01
 
3
1964.01.01
 
3
1961.01.01
 
3
Other values (675)
702 

Unique

Unique648 ?
Unique (%)90.1%

Sample

1st row1953-07-01 00:00:00
2nd row1966-01-12 00:00:00
3rd row1970.01.01
4th row1965-03-23 00:00:00
5th row1969.01.01

Common Values

ValueCountFrequency (%)
1968.01.014
 
0.5%
1963.01.014
 
0.5%
1959.01.013
 
0.3%
1964.01.013
 
0.3%
1961.01.013
 
0.3%
1972-11-20 00:00:002
 
0.2%
1970-05-15 00:00:002
 
0.2%
1974-03-02 00:00:002
 
0.2%
1977-08-14 00:00:002
 
0.2%
1970-07-21 00:00:002
 
0.2%
Other values (670)692
78.8%
(Missing)159
 
18.1%

Mãe_estado_civil
Categorical

MISSING

Distinct4
Distinct (%)0.6%
Missing233
Missing (%)26.5%
Memory size7.0 KiB
Cas.
534 
Divor.
92 
Solt.
 
14
Viuvo
 
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCas.
2nd rowCas.
3rd rowSolt.
4th rowDivor.
5th rowCas.

Common Values

ValueCountFrequency (%)
Cas.534
60.8%
Divor.92
 
10.5%
Solt.14
 
1.6%
Viuvo5
 
0.6%
(Missing)233
26.5%
Distinct26
Distinct (%)3.2%
Missing73
Missing (%)8.3%
Memory size7.0 KiB
Licenc
218 
12º ano
161 
9º ano
81 
Básico 1º
55 
6º ano
38 
Other values (21)
252 

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st rowBásico 3º
2nd rowSuperior
3rd rowBásico 2º
4th rowBásico 1º
5th rowSuperior

Common Values

ValueCountFrequency (%)
Licenc218
24.8%
12º ano161
18.3%
9º ano81
 
9.2%
Básico 1º55
 
6.3%
6º ano38
 
4.3%
Superior38
 
4.3%
Básico 2º36
 
4.1%
Secundário36
 
4.1%
4º ano27
 
3.1%
Básico 3º25
 
2.8%
Other values (16)90
10.3%
(Missing)73
 
8.3%

Mãe_outras_doenças
Categorical

MISSING

Distinct49
Distinct (%)20.9%
Missing643
Missing (%)73.2%
Memory size7.0 KiB
Não
183 
Cefaleias
 
2
Sim_x001D_hipotiroidismo
 
2
Sim_x001D_Rinite alergica
 
2
asma
 
2
Other values (44)
44 

Unique

Unique44 ?
Unique (%)18.7%

Sample

1st rowNão
2nd rowNão_x001D_
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não183
 
20.8%
Cefaleias2
 
0.2%
Sim_x001D_hipotiroidismo2
 
0.2%
Sim_x001D_Rinite alergica2
 
0.2%
asma2
 
0.2%
Sim_x001D_Anemia1
 
0.1%
D. Celíaca1
 
0.1%
FALECEU_x001D_Leucemia1
 
0.1%
Trombofilia_x001D_genética1
 
0.1%
Sim_x001D_Estigmatismo1
 
0.1%
Other values (39)39
 
4.4%
(Missing)643
73.2%
Distinct5
Distinct (%)0.7%
Missing136
Missing (%)15.5%
Memory size7.0 KiB
Dta
706 
Esq
 
30
Eda
 
3
Ind
 
2
??
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDta
2nd rowDta
3rd rowDta
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta706
80.4%
Esq30
 
3.4%
Eda3
 
0.3%
Ind2
 
0.2%
??1
 
0.1%
(Missing)136
 
15.5%

Mãe_problemas_DPM
Categorical

MISSING

Distinct22
Distinct (%)2.6%
Missing27
Missing (%)3.1%
Memory size7.0 KiB
Não
795 
Sim_x001D_Dificuldades de aprendizagem
 
13
P aprendizagem_x001D_Sim
 
10
Sim_x001D_P aprendizagem
 
8
_x001D_Não
 
3
Other values (17)
 
22

Unique

Unique12 ?
Unique (%)1.4%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não795
90.5%
Sim_x001D_Dificuldades de aprendizagem13
 
1.5%
P aprendizagem_x001D_Sim10
 
1.1%
Sim_x001D_P aprendizagem8
 
0.9%
_x001D_Não3
 
0.3%
Sim_x001D_Epilepsia em criança2
 
0.2%
Dificuldades de aprendizagem_x001D_Sim2
 
0.2%
Sim_x001D_Atraso de linguagem2
 
0.2%
Dificuldades de aprendizagem2
 
0.2%
Epilepsia_x001D_Sim2
 
0.2%
Other values (12)12
 
1.4%
(Missing)27
 
3.1%

Mãe_profissão
Categorical

HIGH CARDINALITY
MISSING

Distinct232
Distinct (%)30.4%
Missing115
Missing (%)13.1%
Memory size7.0 KiB
Doméstica
158 
Desempregada
49 
Professora secundário
 
37
Professora
 
27
Enfermeira
 
24
Other values (227)
468 

Unique

Unique157 ?
Unique (%)20.6%

Sample

1st rowSecretária
2nd rowProfessora secundário
3rd rowCozinheira
4th rowDoméstica
5th rowProfessora básico

Common Values

ValueCountFrequency (%)
Doméstica158
 
18.0%
Desempregada49
 
5.6%
Professora secundário37
 
4.2%
Professora27
 
3.1%
Enfermeira24
 
2.7%
Operária17
 
1.9%
Professora básico16
 
1.8%
Escriturária14
 
1.6%
Administrativa12
 
1.4%
Costureira11
 
1.3%
Other values (222)398
45.3%
(Missing)115
 
13.1%

Mãe_psicopatologia
Categorical

MISSING

Distinct37
Distinct (%)4.3%
Missing22
Missing (%)2.5%
Memory size7.0 KiB
Não
750 
Sim_x001D_Perturbação depressiva
 
44
Perturbação depressiva_x001D_Sim
 
19
Sim_x001D_Perturbação do humor
 
5
_x001D_Não
 
3
Other values (32)
 
35

Unique

Unique29 ?
Unique (%)3.4%

Sample

1st rowNão
2nd rowNão
3rd rowToxicodependencia
4th rowPerturbação depressiva_x001D_Sim_x001D_Antidepressivos
5th rowNão

Common Values

ValueCountFrequency (%)
Não 750
85.4%
Sim_x001D_Perturbação depressiva44
 
5.0%
Perturbação depressiva_x001D_Sim19
 
2.2%
Sim_x001D_Perturbação do humor5
 
0.6%
_x001D_Não 3
 
0.3%
Sim_x001D_Perturbação da ansiedade2
 
0.2%
Perturbação do humor_x001D_Sim2
 
0.2%
Perturbação depressiva2
 
0.2%
Duvidas_x001D_ 1
 
0.1%
Perturbação da ansiedade_x001D_Sim1
 
0.1%
Other values (27)27
 
3.1%
(Missing)22
 
2.5%

Mãe_raça
Categorical

MISSING

Distinct18
Distinct (%)2.9%
Missing248
Missing (%)28.2%
Memory size7.0 KiB
Caucasiano
565 
B
 
38
Africano
 
11
Asiático
 
2
31A
 
1
Other values (13)
 
13

Unique

Unique14 ?
Unique (%)2.2%

Sample

1st rowCaucasiano
2nd rowB
3rd rowCaucasiano
4th rowB
5th rowCaucasiano

Common Values

ValueCountFrequency (%)
Caucasiano565
64.4%
B38
 
4.3%
Africano11
 
1.3%
Asiático2
 
0.2%
31A1
 
0.1%
44A1
 
0.1%
39A1
 
0.1%
19881
 
0.1%
26A1
 
0.1%
34A1
 
0.1%
Other values (8)8
 
0.9%
(Missing)248
28.2%

Nisongerpais
Categorical

MISSING

Distinct2
Distinct (%)0.4%
Missing360
Missing (%)41.0%
Memory size7.0 KiB
N
502 
S
 
16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N502
57.2%
S16
 
1.8%
(Missing)360
41.0%

Nisongerprof
Categorical

MISSING

Distinct2
Distinct (%)0.4%
Missing360
Missing (%)41.0%
Memory size7.0 KiB
N
517 
S
 
1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N517
58.9%
S1
 
0.1%
(Missing)360
41.0%

Nome_escola
Categorical

HIGH CARDINALITY
MISSING

Distinct643
Distinct (%)89.9%
Missing163
Missing (%)18.6%
Memory size7.0 KiB
EB2,3 Martim de Freitas
 
6
CRIT
 
5
JI Ribeira
 
5
EB2/3 Martim de Freitas
 
4
EBI Gualdim Pais
 
4
Other values (638)
691 

Unique

Unique597 ?
Unique (%)83.5%

Sample

1st rowColegio Eduardo Claparéde
2nd rowCASCI
3rd rowASSOL
4th rowCERCIMIRA
5th rowEB2,3 de Belmonte

Common Values

ValueCountFrequency (%)
EB2,3 Martim de Freitas6
 
0.7%
CRIT5
 
0.6%
JI Ribeira5
 
0.6%
EB2/3 Martim de Freitas4
 
0.5%
EBI Gualdim Pais4
 
0.5%
EB1 Almedina4
 
0.5%
EB1 Ribeira4
 
0.5%
EB1 Tovim3
 
0.3%
Jardim Escola João de Deus3
 
0.3%
CERCIG3
 
0.3%
Other values (633)674
76.8%
(Missing)163
 
18.6%

Notas_Evolução
Categorical

HIGH CARDINALITY
MISSING

Distinct67
Distinct (%)95.7%
Missing808
Missing (%)92.0%
Memory size7.0 KiB
Evolução não autismo
 
4
Evolução não autismo.
 
1
Excelente evolução
 
1
Volta SOS
 
1
Falecido 2021 - neoplasia pâncreas
 
1
Other values (62)
62 

Unique

Unique66 ?
Unique (%)94.3%

Sample

1st row Mantem Quadro semelhante. Autismo sem dúvida.
2nd rowMãe e Pai acham que devia ser a mesma equipa a seguir ( vivem a 300 Km)_x001D_P-72.3, E-172, IMC-24.4
3rd rowMãe e Pai acham que devia ser a mesma equipa a seguir ( vivem a 300 Km)_x001D_P-89 E-171 IMC VER
4th row Ainda tem convulsões
5th rowMelhorou da alimentação_x001D_Iniciou a linguagem 3-4A altura em que começou a ler e escrever

Common Values

ValueCountFrequency (%)
Evolução não autismo4
 
0.5%
Evolução não autismo.1
 
0.1%
Excelente evolução1
 
0.1%
Volta SOS1
 
0.1%
Falecido 2021 - neoplasia pâncreas1
 
0.1%
Boa1
 
0.1%
Tiques dos 2A6M aos 3A_x001D_movimentos faciais, bater com a cabeça no chão, bruxismo _x001D_Assustava-se mto com barulhos1
 
0.1%
Alterações da prosodia_x001D_Expert em futebol1
 
0.1%
Já come bem 5A_x001D_Seguida na Consulta ND do Hospital de Leiria1
 
0.1%
Não autismo1
 
0.1%
Other values (57)57
 
6.5%
(Missing)808
92.0%

Nível_Funcional/QDG
Categorical

MISSING

Distinct9
Distinct (%)1.2%
Missing105
Missing (%)12.0%
Memory size7.0 KiB
N/próximo
371 
Ligeiro
207 
Moderado
112 
Severo
51 
N/proximo_x000B_N/próximo
 
22
Other values (4)
 
10

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st rowSevero_x000B_N/próximo
2nd rowSevero
3rd rowSevero
4th rowSevero
5th rowSevero

Common Values

ValueCountFrequency (%)
N/próximo371
42.3%
Ligeiro207
23.6%
Moderado112
 
12.8%
Severo51
 
5.8%
N/proximo_x000B_N/próximo22
 
2.5%
Ligeiro_x000B_N/próximo7
 
0.8%
Severo_x000B_N/próximo1
 
0.1%
N/proximo_x000B_Ligeiro1
 
0.1%
Ligeiro_x000B_Moderado1
 
0.1%
(Missing)105
 
12.0%

Nível_matricula
Categorical

MISSING

Distinct30
Distinct (%)4.7%
Missing244
Missing (%)27.8%
Memory size7.0 KiB
Pré-escola
93 
1º ano
57 
2º ano
49 
4º ano
49 
6º ano
48 
Other values (25)
338 

Unique

Unique7 ?
Unique (%)1.1%

Sample

1st row12º ano
2nd row12º ano
3rd row12º ano
4th row11º ano
5th row11º ano

Common Values

ValueCountFrequency (%)
Pré-escola93
 
10.6%
1º ano57
 
6.5%
2º ano49
 
5.6%
4º ano49
 
5.6%
6º ano48
 
5.5%
9º ano48
 
5.5%
5º ano44
 
5.0%
3º ano41
 
4.7%
7º ano34
 
3.9%
11º ano32
 
3.6%
Other values (20)139
15.8%
(Missing)244
27.8%

Organomegálias
Categorical

MISSING

Distinct3
Distinct (%)0.4%
Missing87
Missing (%)9.9%
Memory size7.0 KiB
Não
788 
Não_x001D_Não
 
2
Hepatomegalia_x001D_Esplenomegalia
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não788
89.7%
Não_x001D_Não2
 
0.2%
Hepatomegalia_x001D_Esplenomegalia1
 
0.1%
(Missing)87
 
9.9%

Origem_Familia_P
Categorical

MISSING

Distinct21
Distinct (%)9.2%
Missing650
Missing (%)74.0%
Memory size7.0 KiB
Centro
118 
Norte
48 
Lisboa vale tejo
13 
Sul- Alentejo
 
10
Açores
 
7
Other values (16)
32 

Unique

Unique10 ?
Unique (%)4.4%

Sample

1st rowAçores- S Jorge
2nd rowNorte
3rd rowNorte
4th rowCentro
5th rowCentro

Common Values

ValueCountFrequency (%)
Centro118
 
13.4%
Norte48
 
5.5%
Lisboa vale tejo13
 
1.5%
Sul- Alentejo10
 
1.1%
Açores7
 
0.8%
Açores/Smiguel7
 
0.8%
Sul Algarve4
 
0.5%
Sul-Lisboa4
 
0.5%
Africa3
 
0.3%
Sul Ribatejo2
 
0.2%
Other values (11)12
 
1.4%
(Missing)650
74.0%

Outros_exames_S
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing134
Missing (%)15.3%
Memory size7.0 KiB
S
738 
N
 
6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S738
84.1%
N6
 
0.7%
(Missing)134
 
15.3%

Outros_exames_S_resultados
Categorical

HIGH CARDINALITY
MISSING

Distinct379
Distinct (%)47.7%
Missing83
Missing (%)9.5%
Memory size7.0 KiB
Estudo variações genéticas
66 
COST FCT2012_x001D_Reavaliação FCT2012 Concluída
 
38
Hemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário enviado
 
29
Hemograma normal_x001D_bioquimica-N
 
26
Reavaliação Griffiths
 
25
Other values (374)
611 

Unique

Unique296 ?
Unique (%)37.2%

Sample

1st row_x001D__x001D_Irmão mais novo
2nd rowHemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido
3rd rowBM_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido
4th rowHemograma alt_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido
5th rowHemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário devolvido

Common Values

ValueCountFrequency (%)
Estudo variações genéticas66
 
7.5%
COST FCT2012_x001D_Reavaliação FCT2012 Concluída38
 
4.3%
Hemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário enviado29
 
3.3%
Hemograma normal_x001D_bioquimica-N26
 
3.0%
Reavaliação Griffiths25
 
2.8%
Hemograma normal_x001D_bioquimica-N_x001D_Longitudinal questionário respondido14
 
1.6%
Griffiths/WISC13
 
1.5%
Estudo GeNVIA12
 
1.4%
Reavaliação FCT2012 Concluída_x001D_ASDEU_x001D_ASDEU Autismo10
 
1.1%
Longitudinal questionário enviado10
 
1.1%
Other values (369)552
62.9%
(Missing)83
 
9.5%

HC
Real number (ℝ≥0)

MISSING
SKEWED

Distinct61
Distinct (%)8.5%
Missing164
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean38.2394958
Minimum10
Maximum2532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:58.938587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile32
Q134
median34.5
Q335.5
95-th percentile37
Maximum2532
Range2522
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation93.50983078
Coefficient of variation (CV)2.445373006
Kurtosis712.3974382
Mean38.2394958
Median Absolute Deviation (MAD)1
Skewness26.67606944
Sum27303
Variance8744.088452
MonotonicityNot monotonic
2022-12-16T17:31:59.409233image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35113
12.9%
34106
12.1%
3681
9.2%
34.571
8.1%
3363
 
7.2%
35.556
 
6.4%
33.538
 
4.3%
3728
 
3.2%
3221
 
2.4%
36.519
 
2.2%
Other values (51)118
13.4%
(Missing)164
18.7%
ValueCountFrequency (%)
101
0.1%
252
0.2%
261
0.1%
27.81
0.1%
28.52
0.2%
ValueCountFrequency (%)
25321
0.1%
752
0.2%
551
0.1%
511
0.1%
501
0.1%

PC_(ALTA)
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)29.5%
Missing790
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean57.16136364
Minimum51.5
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:59.553175image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum51.5
5-th percentile53.675
Q156
median57
Q358.5
95-th percentile60.325
Maximum62
Range10.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.095009495
Coefficient of variation (CV)0.03665079631
Kurtosis0.1594593553
Mean57.16136364
Median Absolute Deviation (MAD)1.5
Skewness-0.2725972056
Sum5030.2
Variance4.389064786
MonotonicityNot monotonic
2022-12-16T17:31:59.677888image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5710
 
1.1%
589
 
1.0%
56.58
 
0.9%
567
 
0.8%
58.57
 
0.8%
596
 
0.7%
55.56
 
0.7%
57.55
 
0.6%
59.55
 
0.6%
603
 
0.3%
Other values (16)22
 
2.5%
(Missing)790
90.0%
ValueCountFrequency (%)
51.51
0.1%
521
0.1%
52.51
0.1%
53.31
0.1%
53.51
0.1%
ValueCountFrequency (%)
621
 
0.1%
61.51
 
0.1%
612
0.2%
60.51
 
0.1%
603
0.3%

PC_12M
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)38.2%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean47.25294118
Minimum44
Maximum50.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:31:59.801547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile45.305
Q146.5
median47.45
Q348
95-th percentile49.43
Maximum50.5
Range6.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.315291306
Coefficient of variation (CV)0.02783512039
Kurtosis-0.06330056903
Mean47.25294118
Median Absolute Deviation (MAD)0.95
Skewness-0.1065970074
Sum3213.2
Variance1.72999122
MonotonicityNot monotonic
2022-12-16T17:31:59.920832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4811
 
1.3%
479
 
1.0%
47.56
 
0.7%
48.56
 
0.7%
46.55
 
0.6%
464
 
0.5%
45.54
 
0.5%
49.52
 
0.2%
45.62
 
0.2%
492
 
0.2%
Other values (16)17
 
1.9%
(Missing)810
92.3%
ValueCountFrequency (%)
441
 
0.1%
44.31
 
0.1%
451
 
0.1%
45.21
 
0.1%
45.54
0.5%
ValueCountFrequency (%)
50.51
0.1%
49.81
0.1%
49.52
0.2%
49.31
0.1%
492
0.2%

PC_15M
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)35.5%
Missing816
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean48.18387097
Minimum45
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:00.045092image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile46.31
Q147.55
median48
Q348.825
95-th percentile50.5
Maximum52
Range7
Interquartile range (IQR)1.275

Descriptive statistics

Standard deviation1.209822308
Coefficient of variation (CV)0.02510844985
Kurtosis1.568328038
Mean48.18387097
Median Absolute Deviation (MAD)0.5
Skewness0.4694820122
Sum2987.4
Variance1.463670016
MonotonicityNot monotonic
2022-12-16T17:32:00.162724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4819
 
2.2%
476
 
0.7%
496
 
0.7%
48.55
 
0.6%
47.54
 
0.5%
50.53
 
0.3%
49.53
 
0.3%
462
 
0.2%
46.91
 
0.1%
48.61
 
0.1%
Other values (12)12
 
1.4%
(Missing)816
92.9%
ValueCountFrequency (%)
451
0.1%
462
0.2%
46.31
0.1%
46.51
0.1%
46.91
0.1%
ValueCountFrequency (%)
521
 
0.1%
511
 
0.1%
50.53
0.3%
49.53
0.3%
49.31
 
0.1%

PC_18M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)37.9%
Missing812
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean48.92878788
Minimum46.5
Maximum54.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:00.295905image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum46.5
5-th percentile46.8
Q148
median48.85
Q349.65
95-th percentile51
Maximum54.5
Range8
Interquartile range (IQR)1.65

Descriptive statistics

Standard deviation1.450174011
Coefficient of variation (CV)0.02963846181
Kurtosis2.946070911
Mean48.92878788
Median Absolute Deviation (MAD)0.85
Skewness1.143763732
Sum3229.3
Variance2.103004662
MonotonicityNot monotonic
2022-12-16T17:32:00.415466image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
48.511
 
1.3%
507
 
0.8%
497
 
0.8%
487
 
0.8%
49.55
 
0.6%
49.33
 
0.3%
46.82
 
0.2%
472
 
0.2%
47.62
 
0.2%
47.52
 
0.2%
Other values (15)18
 
2.1%
(Missing)812
92.5%
ValueCountFrequency (%)
46.51
0.1%
46.61
0.1%
46.71
0.1%
46.82
0.2%
472
0.2%
ValueCountFrequency (%)
54.51
0.1%
52.81
0.1%
52.51
0.1%
512
0.2%
50.52
0.2%

PC_24M
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)41.2%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean49.91470588
Minimum47
Maximum53.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:00.546064image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47.77
Q149
median50
Q350.8
95-th percentile52
Maximum53.5
Range6.5
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.363409325
Coefficient of variation (CV)0.0273147823
Kurtosis-0.03305100947
Mean49.91470588
Median Absolute Deviation (MAD)1
Skewness0.1796541131
Sum3394.2
Variance1.858884987
MonotonicityNot monotonic
2022-12-16T17:32:00.663021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
49.59
 
1.0%
50.58
 
0.9%
517
 
0.8%
506
 
0.7%
496
 
0.7%
524
 
0.5%
48.53
 
0.3%
482
 
0.2%
48.72
 
0.2%
50.82
 
0.2%
Other values (18)19
 
2.2%
(Missing)810
92.3%
ValueCountFrequency (%)
471
0.1%
47.21
0.1%
47.51
0.1%
47.71
0.1%
47.91
0.1%
ValueCountFrequency (%)
53.51
 
0.1%
52.81
 
0.1%
52.61
 
0.1%
524
0.5%
51.81
 
0.1%

PC_2M
Real number (ℝ≥0)

MISSING

Distinct20
Distinct (%)29.0%
Missing809
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean39.3942029
Minimum28.5
Maximum46.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:00.785197image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum28.5
5-th percentile37.2
Q138.5
median39.5
Q340
95-th percentile41.8
Maximum46.5
Range18
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.090164929
Coefficient of variation (CV)0.0530576779
Kurtosis11.77821354
Mean39.3942029
Median Absolute Deviation (MAD)1
Skewness-1.714436244
Sum2718.2
Variance4.368789429
MonotonicityNot monotonic
2022-12-16T17:32:00.895293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4013
 
1.5%
39.511
 
1.3%
38.57
 
0.8%
416
 
0.7%
385
 
0.6%
395
 
0.6%
40.53
 
0.3%
41.53
 
0.3%
37.53
 
0.3%
423
 
0.3%
Other values (10)10
 
1.1%
(Missing)809
92.1%
ValueCountFrequency (%)
28.51
 
0.1%
34.31
 
0.1%
36.51
 
0.1%
371
 
0.1%
37.53
0.3%
ValueCountFrequency (%)
46.51
 
0.1%
423
0.3%
41.53
0.3%
416
0.7%
40.53
0.3%

PC_36M
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)34.4%
Missing814
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean50.990625
Minimum48
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:01.018413image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile49
Q150
median51
Q352
95-th percentile53
Maximum54
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.287019289
Coefficient of variation (CV)0.0252403121
Kurtosis0.1134154006
Mean50.990625
Median Absolute Deviation (MAD)1
Skewness0.01577922425
Sum3263.4
Variance1.656418651
MonotonicityNot monotonic
2022-12-16T17:32:01.131088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5110
 
1.1%
5010
 
1.1%
528
 
0.9%
50.56
 
0.7%
51.54
 
0.5%
49.53
 
0.3%
533
 
0.3%
52.52
 
0.2%
482
 
0.2%
50.82
 
0.2%
Other values (12)14
 
1.6%
(Missing)814
92.7%
ValueCountFrequency (%)
482
0.2%
48.51
 
0.1%
492
0.2%
49.53
0.3%
49.81
 
0.1%
ValueCountFrequency (%)
541
 
0.1%
53.81
 
0.1%
53.51
 
0.1%
533
0.3%
52.52
0.2%

PC_4M
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)32.4%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean42.60147059
Minimum38
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:01.253332image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile39.74
Q141.5
median42.5
Q343
95-th percentile44.13
Maximum63
Range25
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.974443013
Coefficient of variation (CV)0.06982019569
Kurtosis33.589777
Mean42.60147059
Median Absolute Deviation (MAD)1
Skewness4.941146208
Sum2896.9
Variance8.847311238
MonotonicityNot monotonic
2022-12-16T17:32:01.369859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4211
 
1.3%
42.510
 
1.1%
4310
 
1.1%
447
 
0.8%
41.55
 
0.6%
43.54
 
0.5%
41.33
 
0.3%
412
 
0.2%
40.52
 
0.2%
382
 
0.2%
Other values (12)12
 
1.4%
(Missing)810
92.3%
ValueCountFrequency (%)
382
0.2%
39.51
0.1%
39.61
0.1%
401
0.1%
40.21
0.1%
ValueCountFrequency (%)
631
 
0.1%
491
 
0.1%
451
 
0.1%
44.21
 
0.1%
447
0.8%

PC_6M
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)36.2%
Missing809
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean44.27971014
Minimum39.5
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:01.488062image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum39.5
5-th percentile42.04
Q143.5
median44.2
Q345
95-th percentile46.5
Maximum49
Range9.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.480220543
Coefficient of variation (CV)0.03342886704
Kurtosis1.721126578
Mean44.27971014
Median Absolute Deviation (MAD)0.8
Skewness-0.1188167852
Sum3055.3
Variance2.191052856
MonotonicityNot monotonic
2022-12-16T17:32:01.609345image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4412
 
1.4%
458
 
0.9%
43.57
 
0.8%
44.57
 
0.8%
465
 
0.6%
45.54
 
0.5%
46.53
 
0.3%
433
 
0.3%
42.53
 
0.3%
422
 
0.2%
Other values (15)15
 
1.7%
(Missing)809
92.1%
ValueCountFrequency (%)
39.51
0.1%
411
0.1%
422
0.2%
42.11
0.1%
42.21
0.1%
ValueCountFrequency (%)
491
 
0.1%
46.81
 
0.1%
46.53
0.3%
465
0.6%
45.81
 
0.1%

PC_9M
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)34.8%
Missing812
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean46.01818182
Minimum43
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:01.727781image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile44
Q145.15
median46
Q347
95-th percentile48
Maximum49
Range6
Interquartile range (IQR)1.85

Descriptive statistics

Standard deviation1.245164072
Coefficient of variation (CV)0.02705808928
Kurtosis-0.1994247205
Mean46.01818182
Median Absolute Deviation (MAD)1
Skewness-0.1577494183
Sum3037.2
Variance1.550433566
MonotonicityNot monotonic
2022-12-16T17:32:01.842991image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4614
 
1.6%
477
 
0.8%
47.56
 
0.7%
456
 
0.7%
45.54
 
0.5%
484
 
0.5%
44.53
 
0.3%
46.53
 
0.3%
443
 
0.3%
46.32
 
0.2%
Other values (13)14
 
1.6%
(Missing)812
92.5%
ValueCountFrequency (%)
431
 
0.1%
43.51
 
0.1%
43.61
 
0.1%
443
0.3%
44.31
 
0.1%
ValueCountFrequency (%)
491
 
0.1%
484
0.5%
47.56
0.7%
47.31
 
0.1%
477
0.8%

PC__P
Real number (ℝ≥0)

MISSING

Distinct82
Distinct (%)11.8%
Missing184
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean53.3315562
Minimum5
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:01.989789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile48
Q150
median52
Q354
95-th percentile75
Maximum95
Range90
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.928536132
Coefficient of variation (CV)0.167415631
Kurtosis12.22521568
Mean53.3315562
Median Absolute Deviation (MAD)2
Skewness1.808632059
Sum37012.1
Variance79.71875746
MonotonicityNot monotonic
2022-12-16T17:32:02.136100image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5081
 
9.2%
5264
 
7.3%
5149
 
5.6%
5336
 
4.1%
5436
 
4.1%
52.532
 
3.6%
49.525
 
2.8%
50.525
 
2.8%
51.525
 
2.8%
4924
 
2.7%
Other values (72)297
33.8%
(Missing)184
21.0%
ValueCountFrequency (%)
51
 
0.1%
102
 
0.2%
257
0.8%
451
 
0.1%
45.52
 
0.2%
ValueCountFrequency (%)
959
1.0%
9010
1.1%
7519
2.2%
60.51
 
0.1%
60.21
 
0.1%

PDD_N/E
Categorical

MISSING

Distinct3
Distinct (%)0.6%
Missing375
Missing (%)42.7%
Memory size7.0 KiB
N
473 
S
 
28
±
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N473
53.9%
S28
 
3.2%
±2
 
0.2%
(Missing)375
42.7%

PS_WISCIII
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)9.2%
Missing682
Missing (%)77.7%
Infinite0
Infinite (%)0.0%
Mean7.867346939
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:02.266608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median8
Q310
95-th percentile14
Maximum19
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.593834478
Coefficient of variation (CV)0.4568038637
Kurtosis-0.06522098113
Mean7.867346939
Median Absolute Deviation (MAD)2
Skewness0.08357481182
Sum1542
Variance12.91564626
MonotonicityNot monotonic
2022-12-16T17:32:02.373464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
926
 
3.0%
826
 
3.0%
725
 
2.8%
516
 
1.8%
616
 
1.8%
1113
 
1.5%
1012
 
1.4%
112
 
1.4%
1211
 
1.3%
1411
 
1.3%
Other values (8)28
 
3.2%
(Missing)682
77.7%
ValueCountFrequency (%)
112
1.4%
27
0.8%
36
 
0.7%
46
 
0.7%
516
1.8%
ValueCountFrequency (%)
191
 
0.1%
171
 
0.1%
161
 
0.1%
151
 
0.1%
1411
1.3%

Pai_DN
Categorical

HIGH CARDINALITY
MISSING

Distinct680
Distinct (%)95.0%
Missing162
Missing (%)18.5%
Memory size7.0 KiB
1962.01.01
 
4
1957.01.01
 
3
1965.01.01
 
3
1956.01.01
 
3
1967-05-17 00:00:00
 
2
Other values (675)
701 

Unique

Unique649 ?
Unique (%)90.6%

Sample

1st row1947-03-03 00:00:00
2nd row1960.01.01
3rd row1964-02-01 00:00:00
4th row1970.01.01
5th row1960-10-01 00:00:00

Common Values

ValueCountFrequency (%)
1962.01.014
 
0.5%
1957.01.013
 
0.3%
1965.01.013
 
0.3%
1956.01.013
 
0.3%
1967-05-17 00:00:002
 
0.2%
1967-07-21 00:00:002
 
0.2%
1968-08-20 00:00:002
 
0.2%
1972-08-09 00:00:002
 
0.2%
1971-12-19 00:00:002
 
0.2%
1968-10-14 00:00:002
 
0.2%
Other values (670)691
78.7%
(Missing)162
 
18.5%

Pai_Estado_civil
Categorical

MISSING

Distinct4
Distinct (%)0.6%
Missing228
Missing (%)26.0%
Memory size7.0 KiB
Cas.
543 
Divor.
97 
Solt.
 
8
Viuvo
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCas.
2nd rowCas.
3rd rowCas.
4th rowDivor.
5th rowCas.

Common Values

ValueCountFrequency (%)
Cas.543
61.8%
Divor.97
 
11.0%
Solt.8
 
0.9%
Viuvo2
 
0.2%
(Missing)228
26.0%

Pai_Raça
Categorical

MISSING

Distinct17
Distinct (%)2.7%
Missing254
Missing (%)28.9%
Memory size7.0 KiB
Caucasiano
560 
B
 
40
Africano
 
10
43A
 
1
37A
 
1
Other values (12)
 
12

Unique

Unique14 ?
Unique (%)2.2%

Sample

1st rowCaucasiano
2nd rowB
3rd rowCaucasiano
4th rowB
5th rowCaucasiano

Common Values

ValueCountFrequency (%)
Caucasiano560
63.8%
B40
 
4.6%
Africano10
 
1.1%
43A1
 
0.1%
37A1
 
0.1%
40A1
 
0.1%
29A1
 
0.1%
38A1
 
0.1%
33A1
 
0.1%
391
 
0.1%
Other values (7)7
 
0.8%
(Missing)254
28.9%

Pai_nível_académico
Categorical

MISSING

Distinct29
Distinct (%)3.6%
Missing74
Missing (%)8.4%
Memory size7.0 KiB
Licenc
155 
12º ano
134 
9º ano
108 
Básico 1º
73 
6º ano
64 
Other values (24)
270 

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st rowBásico 1º
2nd rowSuperior
3rd rowBásico3º
4th rowBásico2º
5th rowBásico 1º

Common Values

ValueCountFrequency (%)
Licenc155
17.7%
12º ano134
15.3%
9º ano108
12.3%
Básico 1º73
8.3%
6º ano64
7.3%
Secundário37
 
4.2%
Básico2º36
 
4.1%
4º ano35
 
4.0%
Básico3º24
 
2.7%
Superior24
 
2.7%
Other values (19)114
13.0%
(Missing)74
8.4%

Pai_outras_doenças
Categorical

MISSING

Distinct40
Distinct (%)17.1%
Missing644
Missing (%)73.3%
Memory size7.0 KiB
Não
190 
HTA
 
2
Sim_x001D_diabetes insulino
 
2
Psoriase
 
2
Sim_x001D_asma
 
2
Other values (35)
36 

Unique

Unique34 ?
Unique (%)14.5%

Sample

1st rowHTA
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não190
 
21.6%
HTA2
 
0.2%
Sim_x001D_diabetes insulino2
 
0.2%
Psoriase2
 
0.2%
Sim_x001D_asma2
 
0.2%
Sim_x001D_Alergias2
 
0.2%
FALECEU_x001D_Linfoma1
 
0.1%
Ver HC1
 
0.1%
Ex-toxicodependente_x001D_Fumador1
 
0.1%
Ver HC_x001D_Fumador1
 
0.1%
Other values (30)30
 
3.4%
(Missing)644
73.3%

Pai_preferência_mão
Categorical

MISSING

Distinct5
Distinct (%)0.7%
Missing136
Missing (%)15.5%
Memory size7.0 KiB
Dta
684 
Esq
 
46
Eda
 
6
Ind
 
5
??
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowDta
2nd rowDta
3rd rowDta
4th rowDta
5th rowDta

Common Values

ValueCountFrequency (%)
Dta684
77.9%
Esq46
 
5.2%
Eda6
 
0.7%
Ind5
 
0.6%
??1
 
0.1%
(Missing)136
 
15.5%

Pai_problemas_DPM
Categorical

MISSING

Distinct18
Distinct (%)2.1%
Missing21
Missing (%)2.4%
Memory size7.0 KiB
Não
803 
Sim_x001D_Dificuldade de aprendizagem
 
14
Dificuldade de aprendizagem_x001D_Sim
 
11
Sim
 
7
Dificuldade de aprendizagem
 
6
Other values (13)
 
16

Unique

Unique11 ?
Unique (%)1.3%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não803
91.5%
Sim_x001D_Dificuldade de aprendizagem14
 
1.6%
Dificuldade de aprendizagem_x001D_Sim11
 
1.3%
Sim7
 
0.8%
Dificuldade de aprendizagem6
 
0.7%
_x001D_Não3
 
0.3%
Epilepsia_x001D_Sim2
 
0.2%
Não_x001D_Surdo Mudo1
 
0.1%
Sim_x001D_Atraso desenvolvimento1
 
0.1%
Epilepsia_x001D_Amblíope_x001D_Sim1
 
0.1%
Other values (8)8
 
0.9%
(Missing)21
 
2.4%

Pai_profissão
Categorical

HIGH CARDINALITY
MISSING

Distinct305
Distinct (%)38.8%
Missing92
Missing (%)10.5%
Memory size7.0 KiB
Pedreiro
 
41
Engenheiro
 
30
Motorista
 
27
Desempregado
 
25
Operário
 
25
Other values (300)
638 

Unique

Unique208 ?
Unique (%)26.5%

Sample

1st rowComerciante
2nd rowProfessor secundário
3rd rowMotorista
4th rowDesigner ceramico
5th rowPedreiro

Common Values

ValueCountFrequency (%)
Pedreiro41
 
4.7%
Engenheiro30
 
3.4%
Motorista27
 
3.1%
Desempregado25
 
2.8%
Operário25
 
2.8%
Comerciante22
 
2.5%
Vendedor21
 
2.4%
Empresário19
 
2.2%
Professor18
 
2.1%
GNR14
 
1.6%
Other values (295)544
62.0%
(Missing)92
 
10.5%

Pai_psicopatologia
Categorical

MISSING

Distinct35
Distinct (%)4.1%
Missing19
Missing (%)2.2%
Memory size7.0 KiB
Não
805 
Sim_x001D_Alcoolismo
 
6
Sim_x001D_Perturbações depressivas
 
4
Sim_x001D_Esquizofrenia
 
3
Sim_x001D_Perturbações da ansiedade
 
3
Other values (30)
 
38

Unique

Unique23 ?
Unique (%)2.7%

Sample

1st rowPerturbações depressivas_x001D_Sim
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não805
91.7%
Sim_x001D_Alcoolismo6
 
0.7%
Sim_x001D_Perturbações depressivas4
 
0.5%
Sim_x001D_Esquizofrenia3
 
0.3%
Sim_x001D_Perturbações da ansiedade3
 
0.3%
Sim3
 
0.3%
Perturbações depressivas_x001D_Sim2
 
0.2%
Sim_x001D_Perturbações bipolares2
 
0.2%
Sim_x001D_Seguido Psi2
 
0.2%
Sim_x001D_Perturbação bipolar2
 
0.2%
Other values (25)27
 
3.1%
(Missing)19
 
2.2%

Parto_Hospitalar
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing65
Missing (%)7.4%
Memory size7.0 KiB
S
796 
N
 
17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S796
90.7%
N17
 
1.9%
(Missing)65
 
7.4%

Parto_Para
Categorical

MISSING

Distinct15
Distinct (%)1.7%
Missing14
Missing (%)1.6%
Memory size7.0 KiB
I
442 
II
280 
III
74 
1
 
29
2
 
13
Other values (10)
 
26

Unique

Unique6 ?
Unique (%)0.7%

Sample

1st rowIII
2nd rowII
3rd rowII
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I442
50.3%
II280
31.9%
III74
 
8.4%
129
 
3.3%
213
 
1.5%
IV12
 
1.4%
VII3
 
0.3%
33
 
0.3%
V2
 
0.2%
X1
 
0.1%
Other values (5)5
 
0.6%
(Missing)14
 
1.6%

Parto_Problemas
Categorical

MISSING

Distinct41
Distinct (%)4.9%
Missing41
Missing (%)4.7%
Memory size7.0 KiB
Não
774 
Sim
 
9
Sim_x001D_SFA
 
8
desc
 
4
Sim_x001D_Asfixia
 
4
Other values (36)
 
38

Unique

Unique34 ?
Unique (%)4.1%

Sample

1st rowNão
2nd rowDistocia de ombros_x001D_Paralisia plexo braquial_x001D_Sim
3rd rowdesc
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não774
88.2%
Sim9
 
1.0%
Sim_x001D_SFA8
 
0.9%
desc4
 
0.5%
Sim_x001D_Asfixia4
 
0.5%
Sim_x001D_Suspeita de sepsis e TTRN com boa evolução2
 
0.2%
Asfixia2
 
0.2%
Sim_x001D_Cesariana por SFA_x001D_ACIU1
 
0.1%
Pélvica1
 
0.1%
cesariana1
 
0.1%
Other values (31)31
 
3.5%
(Missing)41
 
4.7%

Parto_Reanimação
Categorical

MISSING

Distinct4
Distinct (%)0.5%
Missing57
Missing (%)6.5%
Memory size7.0 KiB
Não
707 
N
76 
Ambu
 
28
TET
 
10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowAmbu

Common Values

ValueCountFrequency (%)
Não707
80.5%
N76
 
8.7%
Ambu28
 
3.2%
TET10
 
1.1%
(Missing)57
 
6.5%

Parto_Tipo
Categorical

MISSING

Distinct5
Distinct (%)0.6%
Missing28
Missing (%)3.2%
Memory size7.0 KiB
N
417 
C
296 
V
75 
F
49 
P
 
13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowC
4th rowN
5th rowC

Common Values

ValueCountFrequency (%)
N417
47.5%
C296
33.7%
V75
 
8.5%
F49
 
5.6%
P13
 
1.5%
(Missing)28
 
3.2%

Peso_
Real number (ℝ≥0)

MISSING

Distinct308
Distinct (%)37.6%
Missing59
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3318.564335
Minimum3.19
Maximum35505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:02.530553image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3.19
5-th percentile2249
Q13000
median3270
Q33600
95-th percentile4061
Maximum35505
Range35501.81
Interquartile range (IQR)600

Descriptive statistics

Standard deviation1653.465982
Coefficient of variation (CV)0.4982473792
Kurtosis308.6990892
Mean3318.564335
Median Absolute Deviation (MAD)310
Skewness16.3327334
Sum2717904.19
Variance2733949.755
MonotonicityNot monotonic
2022-12-16T17:32:02.678244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300017
 
1.9%
320016
 
1.8%
325015
 
1.7%
335014
 
1.6%
380012
 
1.4%
305012
 
1.4%
330012
 
1.4%
350011
 
1.3%
360011
 
1.3%
310010
 
1.1%
Other values (298)689
78.5%
(Missing)59
 
6.7%
ValueCountFrequency (%)
3.191
0.1%
251
0.1%
501
0.1%
751
0.1%
3501
0.1%
ValueCountFrequency (%)
355051
0.1%
333901
0.1%
51901
0.1%
49301
0.1%
48501
0.1%

Peso_(ALTA)
Real number (ℝ≥0)

MISSING

Distinct78
Distinct (%)83.9%
Missing785
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean72.69784946
Minimum1.8
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:02.842614image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile38.9
Q159
median71.5
Q385
95-th percentile103.24
Maximum171
Range169.2
Interquartile range (IQR)26

Descriptive statistics

Standard deviation23.65917406
Coefficient of variation (CV)0.3254453087
Kurtosis2.965597113
Mean72.69784946
Median Absolute Deviation (MAD)13.5
Skewness0.3818966698
Sum6760.9
Variance559.7565171
MonotonicityNot monotonic
2022-12-16T17:32:03.012498image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704
 
0.5%
793
 
0.3%
79.62
 
0.2%
602
 
0.2%
552
 
0.2%
1022
 
0.2%
592
 
0.2%
65.32
 
0.2%
852
 
0.2%
632
 
0.2%
Other values (68)70
 
8.0%
(Missing)785
89.4%
ValueCountFrequency (%)
1.81
0.1%
161
0.1%
261
0.1%
27.41
0.1%
33.51
0.1%
ValueCountFrequency (%)
1711
0.1%
1251
0.1%
1101
0.1%
1041
0.1%
103.61
0.1%

Peso_12M
Real number (ℝ≥0)

MISSING

Distinct63
Distinct (%)92.6%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean9707.451471
Minimum10
Maximum12990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:03.178928image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile6565.5
Q19260
median10040
Q310922.5
95-th percentile11938.5
Maximum12990
Range12980
Interquartile range (IQR)1662.5

Descriptive statistics

Standard deviation2400.658818
Coefficient of variation (CV)0.2473006252
Kurtosis10.19524668
Mean9707.451471
Median Absolute Deviation (MAD)865
Skewness-2.950704029
Sum660106.7
Variance5763162.759
MonotonicityNot monotonic
2022-12-16T17:32:03.342910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102003
 
0.3%
99002
 
0.2%
91502
 
0.2%
110602
 
0.2%
111401
 
0.1%
115001
 
0.1%
88901
 
0.1%
118001
 
0.1%
115801
 
0.1%
85001
 
0.1%
Other values (53)53
 
6.0%
(Missing)810
92.3%
ValueCountFrequency (%)
101
0.1%
10.71
0.1%
111
0.1%
58201
0.1%
79501
0.1%
ValueCountFrequency (%)
129901
0.1%
122901
0.1%
122001
0.1%
119701
0.1%
118801
0.1%

Peso_15M
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)88.9%
Missing815
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean10835.16508
Minimum10.4
Maximum14000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:03.505373image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10.4
5-th percentile9013
Q110175
median10980
Q311810
95-th percentile12959
Maximum14000
Range13989.6
Interquartile range (IQR)1635

Descriptive statistics

Standard deviation1895.595865
Coefficient of variation (CV)0.1749484988
Kurtosis16.76659208
Mean10835.16508
Median Absolute Deviation (MAD)840
Skewness-3.086503133
Sum682615.4
Variance3593283.685
MonotonicityNot monotonic
2022-12-16T17:32:03.653620image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107003
 
0.3%
106002
 
0.2%
115002
 
0.2%
105202
 
0.2%
110402
 
0.2%
118002
 
0.2%
100001
 
0.1%
109901
 
0.1%
102901
 
0.1%
106251
 
0.1%
Other values (46)46
 
5.2%
(Missing)815
92.8%
ValueCountFrequency (%)
10.41
0.1%
64001
0.1%
89001
0.1%
90001
0.1%
91301
0.1%
ValueCountFrequency (%)
140001
0.1%
138001
0.1%
131001
0.1%
129601
0.1%
129501
0.1%

Peso_18M
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)86.4%
Missing812
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean11389.40348
Minimum11.8
Maximum14310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:03.823831image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11.8
5-th percentile9680
Q110767.5
median11605
Q312725
95-th percentile13775
Maximum14310
Range14298.2
Interquartile range (IQR)1957.5

Descriptive statistics

Standard deviation2402.647356
Coefficient of variation (CV)0.2109546263
Kurtosis14.2122626
Mean11389.40348
Median Absolute Deviation (MAD)950
Skewness-3.319631305
Sum751700.63
Variance5772714.317
MonotonicityNot monotonic
2022-12-16T17:32:03.976874image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128003
 
0.3%
115003
 
0.3%
123002
 
0.2%
106002
 
0.2%
118602
 
0.2%
103002
 
0.2%
125002
 
0.2%
132301
 
0.1%
101001
 
0.1%
104701
 
0.1%
Other values (47)47
 
5.4%
(Missing)812
92.5%
ValueCountFrequency (%)
11.81
0.1%
13.831
0.1%
69301
0.1%
96601
0.1%
97401
0.1%
ValueCountFrequency (%)
143101
0.1%
139901
0.1%
138101
0.1%
138001
0.1%
137001
0.1%

Peso_24M
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)77.9%
Missing810
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean12034.25
Minimum12.5
Maximum15990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:04.141309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile14.875
Q111837.5
median12800
Q313750
95-th percentile15182.5
Maximum15990
Range15977.5
Interquartile range (IQR)1912.5

Descriptive statistics

Standard deviation3691.382753
Coefficient of variation (CV)0.3067397431
Kurtosis6.177410033
Mean12034.25
Median Absolute Deviation (MAD)975
Skewness-2.548225537
Sum818329
Variance13626306.63
MonotonicityNot monotonic
2022-12-16T17:32:04.297091image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135004
 
0.5%
128003
 
0.3%
125003
 
0.3%
140003
 
0.3%
152002
 
0.2%
118002
 
0.2%
119002
 
0.2%
132
 
0.2%
132002
 
0.2%
118502
 
0.2%
Other values (43)43
 
4.9%
(Missing)810
92.3%
ValueCountFrequency (%)
12.51
0.1%
132
0.2%
141
0.1%
16.51
0.1%
78401
0.1%
ValueCountFrequency (%)
159901
0.1%
155501
0.1%
152002
0.2%
151501
0.1%
151101
0.1%

Peso_2M
Real number (ℝ≥0)

MISSING

Distinct60
Distinct (%)85.7%
Missing808
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean5265.028571
Minimum1200
Maximum7770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:04.468393image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile4122.5
Q14735
median5280
Q35750
95-th percentile6482.5
Maximum7770
Range6570
Interquartile range (IQR)1015

Descriptive statistics

Standard deviation889.404816
Coefficient of variation (CV)0.1689268736
Kurtosis5.762424618
Mean5265.028571
Median Absolute Deviation (MAD)540
Skewness-0.9822909352
Sum368552
Variance791040.9267
MonotonicityNot monotonic
2022-12-16T17:32:04.623709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49002
 
0.2%
44402
 
0.2%
54502
 
0.2%
57502
 
0.2%
55502
 
0.2%
52002
 
0.2%
60002
 
0.2%
53002
 
0.2%
52402
 
0.2%
52802
 
0.2%
Other values (50)50
 
5.7%
(Missing)808
92.0%
ValueCountFrequency (%)
12001
0.1%
37001
0.1%
40701
0.1%
41001
0.1%
41501
0.1%
ValueCountFrequency (%)
77701
0.1%
70501
0.1%
66401
0.1%
65501
0.1%
64001
0.1%

Peso_36M
Real number (ℝ≥0)

MISSING

Distinct48
Distinct (%)71.6%
Missing811
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean10736.31343
Minimum13.2
Maximum18900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:04.785876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile15.27
Q119
median14140
Q315200
95-th percentile17410
Maximum18900
Range18886.8
Interquartile range (IQR)15181

Descriptive statistics

Standard deviation6889.034054
Coefficient of variation (CV)0.6416573153
Kurtosis-1.120680641
Mean10736.31343
Median Absolute Deviation (MAD)1860
Skewness-0.8482548053
Sum719333
Variance47458790.19
MonotonicityNot monotonic
2022-12-16T17:32:04.935402image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
184
 
0.5%
145004
 
0.5%
152003
 
0.3%
140003
 
0.3%
16.52
 
0.2%
146002
 
0.2%
144002
 
0.2%
162002
 
0.2%
152
 
0.2%
153002
 
0.2%
Other values (38)41
 
4.7%
(Missing)811
92.4%
ValueCountFrequency (%)
13.21
0.1%
141
0.1%
152
0.2%
15.91
0.1%
161
0.1%
ValueCountFrequency (%)
189001
0.1%
180001
0.1%
178001
0.1%
175001
0.1%
172001
0.1%

Peso_4M
Real number (ℝ≥0)

MISSING

Distinct64
Distinct (%)92.8%
Missing809
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean6960.724638
Minimum3080
Maximum9140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:05.098179image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3080
5-th percentile5480
Q16400
median6920
Q37530
95-th percentile8618
Maximum9140
Range6060
Interquartile range (IQR)1130

Descriptive statistics

Standard deviation1034.295823
Coefficient of variation (CV)0.1485902513
Kurtosis2.084001897
Mean6960.724638
Median Absolute Deviation (MAD)580
Skewness-0.5231907244
Sum480290
Variance1069767.85
MonotonicityNot monotonic
2022-12-16T17:32:05.662899image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66003
 
0.3%
64002
 
0.2%
71102
 
0.2%
68002
 
0.2%
76401
 
0.1%
70601
 
0.1%
70001
 
0.1%
80501
 
0.1%
59301
 
0.1%
71001
 
0.1%
Other values (54)54
 
6.2%
(Missing)809
92.1%
ValueCountFrequency (%)
30801
0.1%
46801
0.1%
53601
0.1%
54001
0.1%
56001
0.1%
ValueCountFrequency (%)
91401
0.1%
91001
0.1%
87651
0.1%
86301
0.1%
86001
0.1%

Peso_6M
Real number (ℝ≥0)

MISSING

Distinct61
Distinct (%)88.4%
Missing809
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean7868.789855
Minimum7.5
Maximum11000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:05.824539image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile6242
Q17400
median8030
Q38660
95-th percentile9980
Maximum11000
Range10992.5
Interquartile range (IQR)1260

Descriptive statistics

Standard deviation1763.599996
Coefficient of variation (CV)0.2241259492
Kurtosis10.40999257
Mean7868.789855
Median Absolute Deviation (MAD)630
Skewness-2.594727057
Sum542946.5
Variance3110284.944
MonotonicityNot monotonic
2022-12-16T17:32:05.975194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73004
 
0.5%
76003
 
0.3%
81002
 
0.2%
78702
 
0.2%
84302
 
0.2%
74601
 
0.1%
83701
 
0.1%
92801
 
0.1%
87501
 
0.1%
89401
 
0.1%
Other values (51)51
 
5.8%
(Missing)809
92.1%
ValueCountFrequency (%)
7.51
0.1%
91
0.1%
39101
0.1%
61701
0.1%
63501
0.1%
ValueCountFrequency (%)
110001
0.1%
103501
0.1%
102001
0.1%
100601
0.1%
98601
0.1%

Peso_9M
Real number (ℝ≥0)

MISSING

Distinct61
Distinct (%)91.0%
Missing811
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean8926.80597
Minimum11
Maximum12410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:06.129321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile7148
Q18402.5
median9120
Q39905
95-th percentile11106
Maximum12410
Range12399
Interquartile range (IQR)1502.5

Descriptive statistics

Standard deviation1953.583159
Coefficient of variation (CV)0.2188445862
Kurtosis11.57193105
Mean8926.80597
Median Absolute Deviation (MAD)770
Skewness-2.809556494
Sum598096
Variance3816487.159
MonotonicityNot monotonic
2022-12-16T17:32:06.286603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91003
 
0.3%
72602
 
0.2%
95602
 
0.2%
91202
 
0.2%
81202
 
0.2%
83901
 
0.1%
92201
 
0.1%
89501
 
0.1%
94801
 
0.1%
99701
 
0.1%
Other values (51)51
 
5.8%
(Missing)811
92.4%
ValueCountFrequency (%)
111
0.1%
1051
0.1%
52001
0.1%
71001
0.1%
72602
0.2%
ValueCountFrequency (%)
124101
0.1%
113001
0.1%
111401
0.1%
111301
0.1%
110501
0.1%

Peso_P
Real number (ℝ≥0)

MISSING

Distinct268
Distinct (%)36.5%
Missing143
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean1645.908844
Minimum5
Maximum23500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:06.439938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile12.5
Q116
median24
Q360
95-th percentile14110.5
Maximum23500
Range23495
Interquartile range (IQR)44

Descriptive statistics

Standard deviation4591.629897
Coefficient of variation (CV)2.789723086
Kurtosis5.836164976
Mean1645.908844
Median Absolute Deviation (MAD)10.3
Skewness2.681061209
Sum1209743
Variance21083065.12
MonotonicityNot monotonic
2022-12-16T17:32:06.594925image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5039
 
4.4%
7530
 
3.4%
1720
 
2.3%
1519
 
2.2%
1619
 
2.2%
9018
 
2.1%
1918
 
2.1%
9517
 
1.9%
2517
 
1.9%
1815
 
1.7%
Other values (258)523
59.6%
(Missing)143
 
16.3%
ValueCountFrequency (%)
56
0.7%
9.61
 
0.1%
107
0.8%
10.51
 
0.1%
111
 
0.1%
ValueCountFrequency (%)
235001
0.1%
227001
0.1%
213001
0.1%
204501
0.1%
193001
0.1%

Ponto_redox_plasmático
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing302
Missing (%)34.4%
Memory size7.0 KiB
S
418 
N
158 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S418
47.6%
N158
 
18.0%
(Missing)302
34.4%

Primeira_consulta_autismo-desenv.
Categorical

HIGH CARDINALITY
MISSING

Distinct773
Distinct (%)89.2%
Missing11
Missing (%)1.3%
Memory size7.0 KiB
2001.05.15
 
5
2002-05-20 00:00:00
 
3
2011-12-12 00:00:00
 
3
2003-04-28 00:00:00
 
3
2001.06.20
 
3
Other values (768)
850 

Unique

Unique687 ?
Unique (%)79.2%

Sample

1st row1993-05-16 00:00:00
2nd row1998-09-28 00:00:00
3rd row1999-03-01 00:00:00
4th row1998-01-01 00:00:00
5th row2000-12-13 00:00:00

Common Values

ValueCountFrequency (%)
2001.05.155
 
0.6%
2002-05-20 00:00:003
 
0.3%
2011-12-12 00:00:003
 
0.3%
2003-04-28 00:00:003
 
0.3%
2001.06.203
 
0.3%
2014-02-17 00:00:003
 
0.3%
2005-04-28 00:00:002
 
0.2%
2000-10-03 00:00:002
 
0.2%
2013-06-17 00:00:002
 
0.2%
2016-06-22 00:00:002
 
0.2%
Other values (763)839
95.6%
(Missing)11
 
1.3%

First_Phrases_Age
Real number (ℝ≥0)

MISSING

Distinct42
Distinct (%)6.4%
Missing225
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean45.12404288
Minimum11
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:06.752346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile24
Q136
median42
Q350
95-th percentile72
Maximum120
Range109
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.35080807
Coefficient of variation (CV)0.3845135977
Kurtosis3.083065079
Mean45.12404288
Median Absolute Deviation (MAD)6
Skewness1.319872174
Sum29466
Variance301.0505407
MonotonicityNot monotonic
2022-12-16T17:32:06.901750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
36155
17.7%
48127
14.5%
6074
 
8.4%
2458
 
6.6%
4251
 
5.8%
3031
 
3.5%
7229
 
3.3%
4018
 
2.1%
1816
 
1.8%
8411
 
1.3%
Other values (32)83
 
9.5%
(Missing)225
25.6%
ValueCountFrequency (%)
111
 
0.1%
123
 
0.3%
141
 
0.1%
161
 
0.1%
1816
1.8%
ValueCountFrequency (%)
1206
0.7%
1081
 
0.1%
9611
1.3%
8411
1.3%
801
 
0.1%

First_Words_Age
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)5.5%
Missing71
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean25.03965304
Minimum8
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:07.054290image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q115
median24
Q330
95-th percentile48
Maximum120
Range112
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.73683584
Coefficient of variation (CV)0.5486032822
Kurtosis7.292906769
Mean25.03965304
Median Absolute Deviation (MAD)9
Skewness2.022687606
Sum20207
Variance188.7006589
MonotonicityNot monotonic
2022-12-16T17:32:07.198873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
24157
17.9%
12128
14.6%
18120
13.7%
36109
12.4%
3069
7.9%
4831
 
3.5%
1528
 
3.2%
1419
 
2.2%
6017
 
1.9%
1013
 
1.5%
Other values (34)116
13.2%
(Missing)71
8.1%
ValueCountFrequency (%)
81
 
0.1%
911
 
1.3%
1013
 
1.5%
1113
 
1.5%
12128
14.6%
ValueCountFrequency (%)
1201
 
0.1%
1081
 
0.1%
1001
 
0.1%
961
 
0.1%
843
0.3%

Primos_com_psicopatologia_e_ou_P_DPM
Categorical

HIGH CARDINALITY
MISSING

Distinct108
Distinct (%)55.1%
Missing682
Missing (%)77.7%
Memory size7.0 KiB
Não
75 
Sim_x001D_Primo lado materno PC/DM/aut
 
2
Prima materna anorexia mental_x001D_Sim
 
2
Sim
 
2
Sim_x001D_Primo materno- DM
 
2
Other values (103)
113 

Unique

Unique93 ?
Unique (%)47.4%

Sample

1st rowSim_x001D_Prima
2nd rowNão
3rd rowNão
4th rowNão
5th rowmaterno com espinha bífida

Common Values

ValueCountFrequency (%)
Não75
 
8.5%
Sim_x001D_Primo lado materno PC/DM/aut2
 
0.2%
Prima materna anorexia mental_x001D_Sim2
 
0.2%
Sim2
 
0.2%
Sim_x001D_Primo materno- DM2
 
0.2%
Sim_x001D_prima 1º grau mãe com Dif apre2
 
0.2%
Sim_x001D_primos paternos DM e PC2
 
0.2%
Primo 2º grau com esquizofrenia2
 
0.2%
primo 2º grau autismo2
 
0.2%
Sim_x001D_primo paterno 1ºgrau autismo2
 
0.2%
Other values (98)103
 
11.7%
(Missing)682
77.7%

Problemas_Outros
Categorical

HIGH CARDINALITY
MISSING

Distinct69
Distinct (%)8.2%
Missing40
Missing (%)4.6%
Memory size7.0 KiB
Não
609 
Sim_x001D_Agitação
 
56
Sim_x001D_Agitação_x001D_Ansiedade
 
25
Sim_x001D_Ansiedade
 
17
Sim_x001D_Ansiedade_x001D_Agitação
 
9
Other values (64)
122 

Unique

Unique42 ?
Unique (%)5.0%

Sample

1st rowSim_x001D_Agressividade_x001D_Hiperactividade
2nd rowNão
3rd rowNão
4th rowNão
5th rowSim_x001D_Agitação

Common Values

ValueCountFrequency (%)
Não609
69.4%
Sim_x001D_Agitação56
 
6.4%
Sim_x001D_Agitação_x001D_Ansiedade25
 
2.8%
Sim_x001D_Ansiedade17
 
1.9%
Sim_x001D_Ansiedade_x001D_Agitação9
 
1.0%
Desconhecido9
 
1.0%
Sim_x001D_Agitação psicomotora7
 
0.8%
Sim_x001D_Hiperactividade7
 
0.8%
Sim6
 
0.7%
Sim_x001D_Agressividade_x001D_Agitação6
 
0.7%
Other values (59)87
 
9.9%
(Missing)40
 
4.6%

Problemas_Perinatais_e_neonatais
Categorical

HIGH CARDINALITY
MISSING

Distinct98
Distinct (%)11.7%
Missing40
Missing (%)4.6%
Memory size7.0 KiB
Não
700 
Sim_x001D_Dificuldade mamada
 
24
Sim
 
6
Sim_x001D_prematuridade
 
3
Sim_x001D_HBRB/Foto
 
3
Other values (93)
102 

Unique

Unique85 ?
Unique (%)10.1%

Sample

1st rowBaixo peso_x001D_Sim_x001D_prematuridade
2nd rowParalisia plexo braquial_x001D_Sim
3rd rowdesc
4th rowNão
5th rowSim_x001D_Nasceu com pé boto_x001D_anomalia congénita

Common Values

ValueCountFrequency (%)
Não700
79.7%
Sim_x001D_Dificuldade mamada24
 
2.7%
Sim6
 
0.7%
Sim_x001D_prematuridade3
 
0.3%
Sim_x001D_HBRB/Foto3
 
0.3%
Sim_x001D_Asfixia ligeira3
 
0.3%
Dificuldade mamada_x001D_Sim2
 
0.2%
Sim_x001D_P respiratórios2
 
0.2%
Dificuldade mamada2
 
0.2%
Paralisia plexo braquial_x001D_Sim2
 
0.2%
Other values (88)91
 
10.4%
(Missing)40
 
4.6%

Problemas_Quais
Categorical

HIGH CARDINALITY
MISSING

Distinct211
Distinct (%)25.3%
Missing45
Missing (%)5.1%
Memory size7.0 KiB
Atraso de linguagem
220 
Atrasodesenvolvimento
69 
P interacção social
57 
Regressão da linguagem
50 
Atraso de linguagem_x001D_P interacção social
 
33
Other values (206)
404 

Unique

Unique159 ?
Unique (%)19.1%

Sample

1st rowAtrasodesenvolvimento_x001D_ _x001D_P Comportamento
2nd rowAtrasodesenvolvimento
3rd rowAtrasodesenvolvimento
4th rowAtrasodesenvolvimento
5th rowAtrasodesenvolvimento

Common Values

ValueCountFrequency (%)
Atraso de linguagem220
25.1%
Atrasodesenvolvimento69
 
7.9%
P interacção social57
 
6.5%
Regressão da linguagem50
 
5.7%
Atraso de linguagem_x001D_P interacção social33
 
3.8%
Atraso de desenvolvimento31
 
3.5%
P Comportamento26
 
3.0%
Atraso comunicação25
 
2.8%
Atraso de linguagem_x001D_P Comportamento19
 
2.2%
Esteriotipias11
 
1.3%
Other values (201)292
33.3%
(Missing)45
 
5.1%

Problemas_alimentares
Categorical

HIGH CARDINALITY
MISSING

Distinct57
Distinct (%)6.7%
Missing21
Missing (%)2.4%
Memory size7.0 KiB
Não
697 
Sim_x001D_Só come alimentos restritos
 
38
Sim_x001D_Só come passados
 
32
Sim
 
13
Só come passados _x001D_Sim
 
5
Other values (52)
72 

Unique

Unique43 ?
Unique (%)5.0%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não697
79.4%
Sim_x001D_Só come alimentos restritos38
 
4.3%
Sim_x001D_Só come passados 32
 
3.6%
Sim13
 
1.5%
Só come passados _x001D_Sim5
 
0.6%
Sim_x001D_Restritivo5
 
0.6%
Só come alimentos restritos_x001D_Sim5
 
0.6%
Sim_x001D_Dif mastigação, tem que ser alimentado3
 
0.3%
Sim_x001D_Não mastiga3
 
0.3%
Sim_x001D_Come pouco3
 
0.3%
Other values (47)53
 
6.0%
(Missing)21
 
2.4%

Problemas_do_sono
Categorical

HIGH CARDINALITY
MISSING

Distinct60
Distinct (%)7.0%
Missing23
Missing (%)2.6%
Memory size7.0 KiB
Não
678 
Sim_x001D_Acorda várias vezes de noite
 
28
Sim_x001D_Dificuldade adormecer
 
25
Sim
 
22
Sim_x001D_Ciclo de sono irregular
 
19
Other values (55)
83 

Unique

Unique41 ?
Unique (%)4.8%

Sample

1st rowNão
2nd rowNão
3rd rowNão
4th rowNão
5th rowSim_x001D_medicação

Common Values

ValueCountFrequency (%)
Não678
77.2%
Sim_x001D_Acorda várias vezes de noite28
 
3.2%
Sim_x001D_Dificuldade adormecer25
 
2.8%
Sim22
 
2.5%
Sim_x001D_Ciclo de sono irregular19
 
2.2%
Sim_x001D_Dorme pais7
 
0.8%
Sim_x001D_Dificuldade adormecer_x001D_Acorda várias vezes de noite5
 
0.6%
Dificuldade adormecer_x001D_Sim4
 
0.5%
Sim_x001D_Adormece com mãe3
 
0.3%
Sim_x001D_Acorda várias vezes de noite_x001D_Dificuldade adormecer3
 
0.3%
Other values (50)61
 
6.9%
(Missing)23
 
2.6%

Psicopatologia_criança
Categorical

MISSING

Distinct18
Distinct (%)2.7%
Missing221
Missing (%)25.2%
Memory size7.0 KiB
Não
560 
deficiencia mental
 
53
Sim
 
9
Sim_x001D_deficiencia mental
 
7
Sim_x001D_agitação
 
6
Other values (13)
 
22

Unique

Unique9 ?
Unique (%)1.4%

Sample

1st rowdeficiencia mental
2nd rowdeficiencia mental
3rd rowdeficiencia mental
4th rowdeficiencia mental
5th rowNão

Common Values

ValueCountFrequency (%)
Não560
63.8%
deficiencia mental53
 
6.0%
Sim9
 
1.0%
Sim_x001D_deficiencia mental7
 
0.8%
Sim_x001D_agitação6
 
0.7%
Sim_x001D_Perturbações da ansiedade5
 
0.6%
agitação4
 
0.5%
Sim_x001D_Perturbação oposição2
 
0.2%
Sim_x001D_medos2
 
0.2%
Sim_x001D_ADHD_x001D_agitação1
 
0.1%
Other values (8)8
 
0.9%
(Missing)221
 
25.2%

QD/QILing
Real number (ℝ≥0)

MISSING

Distinct133
Distinct (%)16.1%
Missing53
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean64.22666667
Minimum4
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:07.362782image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17.2
Q138
median62
Q389
95-th percentile118
Maximum170
Range166
Interquartile range (IQR)51

Descriptive statistics

Standard deviation32.29311698
Coefficient of variation (CV)0.5027992057
Kurtosis-0.815315046
Mean64.22666667
Median Absolute Deviation (MAD)26
Skewness0.2459183422
Sum52987
Variance1042.845405
MonotonicityNot monotonic
2022-12-16T17:32:07.515114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6117
 
1.9%
3016
 
1.8%
4615
 
1.7%
8714
 
1.6%
9714
 
1.6%
5013
 
1.5%
9213
 
1.5%
8113
 
1.5%
6713
 
1.5%
2113
 
1.5%
Other values (123)684
77.9%
(Missing)53
 
6.0%
ValueCountFrequency (%)
41
 
0.1%
81
 
0.1%
92
 
0.2%
101
 
0.1%
115
0.6%
ValueCountFrequency (%)
1701
0.1%
1521
0.1%
1491
0.1%
1441
0.1%
1401
0.1%

QD/QIReal
Real number (ℝ≥0)

MISSING

Distinct124
Distinct (%)14.9%
Missing47
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean78.84476534
Minimum14
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:07.679116image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile33
Q158
median79
Q398.5
95-th percentile124
Maximum166
Range152
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation27.89478888
Coefficient of variation (CV)0.3537937967
Kurtosis-0.5538992384
Mean78.84476534
Median Absolute Deviation (MAD)20
Skewness0.01832509057
Sum65520
Variance778.1192467
MonotonicityNot monotonic
2022-12-16T17:32:07.826172image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9818
 
2.1%
7617
 
1.9%
8016
 
1.8%
9215
 
1.7%
9615
 
1.7%
6015
 
1.7%
8715
 
1.7%
9515
 
1.7%
7914
 
1.6%
7714
 
1.6%
Other values (114)677
77.1%
(Missing)47
 
5.4%
ValueCountFrequency (%)
141
 
0.1%
181
 
0.1%
203
0.3%
211
 
0.1%
233
0.3%
ValueCountFrequency (%)
1661
0.1%
1551
0.1%
1481
0.1%
1461
0.1%
1432
0.2%

QD/QIglobal
Real number (ℝ≥0)

MISSING

Distinct117
Distinct (%)14.1%
Missing51
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean72.27509069
Minimum18
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:07.988724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile32
Q154
median71
Q392
95-th percentile112
Maximum143
Range125
Interquartile range (IQR)38

Descriptive statistics

Standard deviation25.00108101
Coefficient of variation (CV)0.3459155952
Kurtosis-0.6707027421
Mean72.27509069
Median Absolute Deviation (MAD)19
Skewness0.09716746525
Sum59771.5
Variance625.0540519
MonotonicityNot monotonic
2022-12-16T17:32:08.161251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7518
 
2.1%
6516
 
1.8%
6316
 
1.8%
6716
 
1.8%
7215
 
1.7%
10115
 
1.7%
9914
 
1.6%
6914
 
1.6%
4014
 
1.6%
7814
 
1.6%
Other values (107)675
76.9%
(Missing)51
 
5.8%
ValueCountFrequency (%)
182
0.2%
201
0.1%
211
0.1%
222
0.2%
231
0.1%
ValueCountFrequency (%)
1431
0.1%
1421
0.1%
1341
0.1%
1321
0.1%
1312
0.2%

QDLreav
Real number (ℝ≥0)

MISSING

Distinct103
Distinct (%)37.2%
Missing601
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean72.26353791
Minimum10
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:08.329232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q147
median77
Q396
95-th percentile118.4
Maximum149
Range139
Interquartile range (IQR)49

Descriptive statistics

Standard deviation31.09291019
Coefficient of variation (CV)0.4302710758
Kurtosis-0.8130461633
Mean72.26353791
Median Absolute Deviation (MAD)24
Skewness-0.1490642848
Sum20017
Variance966.7690642
MonotonicityNot monotonic
2022-12-16T17:32:08.478220image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
767
 
0.8%
916
 
0.7%
816
 
0.7%
1056
 
0.7%
926
 
0.7%
956
 
0.7%
645
 
0.6%
1005
 
0.6%
1015
 
0.6%
1045
 
0.6%
Other values (93)220
 
25.1%
(Missing)601
68.5%
ValueCountFrequency (%)
101
0.1%
12.51
0.1%
141
0.1%
152
0.2%
172
0.2%
ValueCountFrequency (%)
1491
0.1%
1441
0.1%
1382
0.2%
1361
0.1%
1281
0.1%

QDGreav
Real number (ℝ≥0)

MISSING

Distinct88
Distinct (%)31.8%
Missing601
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean78.96137184
Minimum25
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:08.643982image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile40
Q163
median82
Q398
95-th percentile111
Maximum134
Range109
Interquartile range (IQR)35

Descriptive statistics

Standard deviation22.59135052
Coefficient of variation (CV)0.286106358
Kurtosis-0.6407875234
Mean78.96137184
Median Absolute Deviation (MAD)16
Skewness-0.2948138508
Sum21872.3
Variance510.3691184
MonotonicityNot monotonic
2022-12-16T17:32:08.809949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
989
 
1.0%
849
 
1.0%
1008
 
0.9%
757
 
0.8%
966
 
0.7%
926
 
0.7%
1016
 
0.7%
906
 
0.7%
866
 
0.7%
996
 
0.7%
Other values (78)208
 
23.7%
(Missing)601
68.5%
ValueCountFrequency (%)
251
 
0.1%
261
 
0.1%
321
 
0.1%
331
 
0.1%
354
0.5%
ValueCountFrequency (%)
1341
0.1%
1291
0.1%
1271
0.1%
1241
0.1%
1211
0.1%

QDMreav
Real number (ℝ≥0)

MISSING

Distinct79
Distinct (%)28.5%
Missing601
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean87.82851986
Minimum35
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:08.973400image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile55.4
Q178
median90
Q3100
95-th percentile113
Maximum151
Range116
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18.27508249
Coefficient of variation (CV)0.2080768585
Kurtosis0.4504121041
Mean87.82851986
Median Absolute Deviation (MAD)11
Skewness-0.3615648126
Sum24328.5
Variance333.9786402
MonotonicityNot monotonic
2022-12-16T17:32:09.126934image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9011
 
1.3%
9110
 
1.1%
10010
 
1.1%
1019
 
1.0%
969
 
1.0%
939
 
1.0%
848
 
0.9%
828
 
0.9%
1058
 
0.9%
887
 
0.8%
Other values (69)188
 
21.4%
(Missing)601
68.5%
ValueCountFrequency (%)
351
 
0.1%
381
 
0.1%
401
 
0.1%
433
0.3%
441
 
0.1%
ValueCountFrequency (%)
1511
0.1%
1391
0.1%
1261
0.1%
1231
0.1%
1211
0.1%

QDEHreav
Real number (ℝ≥0)

MISSING

Distinct93
Distinct (%)33.7%
Missing602
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean81.58152174
Minimum15
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:09.281266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile34
Q166.5
median85.5
Q3100
95-th percentile115
Maximum144
Range129
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation25.00566596
Coefficient of variation (CV)0.3065113941
Kurtosis-0.4440206272
Mean81.58152174
Median Absolute Deviation (MAD)15.5
Skewness-0.4301846868
Sum22516.5
Variance625.28333
MonotonicityNot monotonic
2022-12-16T17:32:09.445054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1019
 
1.0%
829
 
1.0%
928
 
0.9%
767
 
0.8%
966
 
0.7%
906
 
0.7%
876
 
0.7%
936
 
0.7%
856
 
0.7%
986
 
0.7%
Other values (83)207
 
23.6%
(Missing)602
68.6%
ValueCountFrequency (%)
151
0.1%
25.51
0.1%
291
0.1%
302
0.2%
312
0.2%
ValueCountFrequency (%)
1441
0.1%
1331
0.1%
1301
0.1%
1291
0.1%
1282
0.2%

QDPSreav
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)30.0%
Missing601
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean74.00541516
Minimum23.5
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:09.608946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum23.5
5-th percentile39
Q158
median75
Q389
95-th percentile104.2
Maximum146
Range122.5
Interquartile range (IQR)31

Descriptive statistics

Standard deviation20.82311998
Coefficient of variation (CV)0.281372923
Kurtosis-0.1096398641
Mean74.00541516
Median Absolute Deviation (MAD)15
Skewness-0.02047850629
Sum20499.5
Variance433.6023256
MonotonicityNot monotonic
2022-12-16T17:32:09.771314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7311
 
1.3%
7810
 
1.1%
969
 
1.0%
798
 
0.9%
487
 
0.8%
707
 
0.8%
747
 
0.8%
567
 
0.8%
686
 
0.7%
626
 
0.7%
Other values (73)199
 
22.7%
(Missing)601
68.5%
ValueCountFrequency (%)
23.51
0.1%
261
0.1%
271
0.1%
311
0.1%
321
0.1%
ValueCountFrequency (%)
1461
0.1%
1371
0.1%
1161
0.1%
1151
0.1%
1122
0.2%

QDRPreav
Real number (ℝ≥0)

MISSING

Distinct100
Distinct (%)36.1%
Missing601
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean70.44440433
Minimum0
Maximum153
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:09.940300image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.8
Q148
median73
Q391
95-th percentile108.6
Maximum153
Range153
Interquartile range (IQR)43

Descriptive statistics

Standard deviation27.3567616
Coefficient of variation (CV)0.3883454173
Kurtosis-0.7017301663
Mean70.44440433
Median Absolute Deviation (MAD)21
Skewness-0.1026401731
Sum19513.1
Variance748.3924052
MonotonicityNot monotonic
2022-12-16T17:32:10.097240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
879
 
1.0%
1008
 
0.9%
1017
 
0.8%
856
 
0.7%
926
 
0.7%
516
 
0.7%
836
 
0.7%
406
 
0.7%
936
 
0.7%
696
 
0.7%
Other values (90)211
 
24.0%
(Missing)601
68.5%
ValueCountFrequency (%)
01
0.1%
131
0.1%
161
0.1%
181
0.1%
20.11
0.1%
ValueCountFrequency (%)
1531
0.1%
1321
0.1%
1251
0.1%
1231
0.1%
1221
0.1%

QDRreav
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)35.4%
Missing601
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean87.35920578
Minimum28
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:10.266356image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile44.8
Q171
median88
Q3103
95-th percentile132.4
Maximum166
Range138
Interquartile range (IQR)32

Descriptive statistics

Standard deviation26.26043678
Coefficient of variation (CV)0.3006029708
Kurtosis-0.278958794
Mean87.35920578
Median Absolute Deviation (MAD)17
Skewness0.004071223539
Sum24198.5
Variance689.6105399
MonotonicityNot monotonic
2022-12-16T17:32:10.417406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
848
 
0.9%
1028
 
0.9%
787
 
0.8%
1007
 
0.8%
897
 
0.8%
866
 
0.7%
826
 
0.7%
966
 
0.7%
1016
 
0.7%
806
 
0.7%
Other values (88)210
 
23.9%
(Missing)601
68.5%
ValueCountFrequency (%)
282
0.2%
322
0.2%
332
0.2%
341
0.1%
352
0.2%
ValueCountFrequency (%)
1661
0.1%
1551
0.1%
1421
0.1%
1401
0.1%
1381
0.1%

QD_L
Real number (ℝ≥0)

MISSING

Distinct124
Distinct (%)16.3%
Missing119
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean58.61567852
Minimum4
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:10.584619image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile18
Q134
median53
Q379
95-th percentile112.1
Maximum170
Range166
Interquartile range (IQR)45

Descriptive statistics

Standard deviation30.49359082
Coefficient of variation (CV)0.5202292558
Kurtosis-0.0536161099
Mean58.61567852
Median Absolute Deviation (MAD)22
Skewness0.6531678283
Sum44489.3
Variance929.859081
MonotonicityNot monotonic
2022-12-16T17:32:10.733552image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3017
 
1.9%
5016
 
1.8%
4516
 
1.8%
3114
 
1.6%
4214
 
1.6%
4814
 
1.6%
4014
 
1.6%
3914
 
1.6%
4413
 
1.5%
3813
 
1.5%
Other values (114)614
69.9%
(Missing)119
 
13.6%
ValueCountFrequency (%)
41
 
0.1%
81
 
0.1%
92
0.2%
114
0.5%
11.31
 
0.1%
ValueCountFrequency (%)
1702
0.2%
1581
0.1%
1521
0.1%
1502
0.2%
1402
0.2%

QD_M
Real number (ℝ≥0)

MISSING

Distinct112
Distinct (%)14.7%
Missing118
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean86.83394737
Minimum23
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:10.891340image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile43
Q172
median89
Q3104
95-th percentile121.05
Maximum157
Range134
Interquartile range (IQR)32

Descriptive statistics

Standard deviation23.74726069
Coefficient of variation (CV)0.2734789953
Kurtosis-0.3141262764
Mean86.83394737
Median Absolute Deviation (MAD)16
Skewness-0.3513537908
Sum65993.8
Variance563.9323902
MonotonicityNot monotonic
2022-12-16T17:32:11.054257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9822
 
2.5%
10019
 
2.2%
8319
 
2.2%
9317
 
1.9%
9416
 
1.8%
11316
 
1.8%
8116
 
1.8%
7516
 
1.8%
10816
 
1.8%
10215
 
1.7%
Other values (102)588
67.0%
(Missing)118
 
13.4%
ValueCountFrequency (%)
231
 
0.1%
241
 
0.1%
281
 
0.1%
291
 
0.1%
303
0.3%
ValueCountFrequency (%)
1571
0.1%
1431
0.1%
1391
0.1%
1381
0.1%
1351
0.1%

QD_EH
Real number (ℝ≥0)

MISSING

Distinct120
Distinct (%)15.8%
Missing117
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean70.05243101
Minimum17
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:11.212628image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q152
median70
Q386
95-th percentile110
Maximum165
Range148
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.35485311
Coefficient of variation (CV)0.3619410882
Kurtosis0.08482791853
Mean70.05243101
Median Absolute Deviation (MAD)17
Skewness0.2767571969
Sum53309.9
Variance642.8685763
MonotonicityNot monotonic
2022-12-16T17:32:11.359288image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6519
 
2.2%
7717
 
1.9%
6716
 
1.8%
7315
 
1.7%
7515
 
1.7%
8114
 
1.6%
7614
 
1.6%
5714
 
1.6%
8814
 
1.6%
7014
 
1.6%
Other values (110)609
69.4%
(Missing)117
 
13.3%
ValueCountFrequency (%)
171
 
0.1%
184
0.5%
18.91
 
0.1%
193
0.3%
201
 
0.1%
ValueCountFrequency (%)
1651
0.1%
1571
0.1%
1501
0.1%
1491
0.1%
1471
0.1%

QD_PS
Real number (ℝ≥0)

MISSING

Distinct109
Distinct (%)14.3%
Missing117
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean67.76557162
Minimum17
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:11.516718image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile31
Q151
median68
Q384
95-th percentile104
Maximum161
Range144
Interquartile range (IQR)33

Descriptive statistics

Standard deviation23.21822781
Coefficient of variation (CV)0.3426257206
Kurtosis-0.09577723832
Mean67.76557162
Median Absolute Deviation (MAD)16
Skewness0.1797082086
Sum51569.6
Variance539.0861026
MonotonicityNot monotonic
2022-12-16T17:32:11.663152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6320
 
2.3%
5918
 
2.1%
8117
 
1.9%
7117
 
1.9%
6716
 
1.8%
5716
 
1.8%
8315
 
1.7%
8415
 
1.7%
9214
 
1.6%
8014
 
1.6%
Other values (99)599
68.2%
(Missing)117
 
13.3%
ValueCountFrequency (%)
171
0.1%
181
0.1%
18.11
0.1%
192
0.2%
201
0.1%
ValueCountFrequency (%)
1611
0.1%
1551
0.1%
1381
0.1%
1261
0.1%
1241
0.1%

QD_R
Real number (ℝ≥0)

MISSING

Distinct124
Distinct (%)16.3%
Missing117
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean79.58436268
Minimum14
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:11.823145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile33
Q158
median81
Q3100
95-th percentile125
Maximum152
Range138
Interquartile range (IQR)42

Descriptive statistics

Standard deviation28.36939195
Coefficient of variation (CV)0.3564694244
Kurtosis-0.6367829708
Mean79.58436268
Median Absolute Deviation (MAD)21
Skewness0.005074031888
Sum60563.7
Variance804.8223999
MonotonicityNot monotonic
2022-12-16T17:32:11.975473image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7217
 
1.9%
10016
 
1.8%
9315
 
1.7%
9214
 
1.6%
9613
 
1.5%
8113
 
1.5%
7913
 
1.5%
8412
 
1.4%
9812
 
1.4%
7712
 
1.4%
Other values (114)624
71.1%
(Missing)117
 
13.3%
ValueCountFrequency (%)
141
 
0.1%
181
 
0.1%
201
 
0.1%
211
 
0.1%
233
0.3%
ValueCountFrequency (%)
1521
0.1%
1501
0.1%
1482
0.2%
1441
0.1%
1432
0.2%

QD_PR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct104
Distinct (%)15.3%
Missing198
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean53.38676471
Minimum0
Maximum139
Zeros134
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:12.139452image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median58
Q376
95-th percentile103.05
Maximum139
Range139
Interquartile range (IQR)43

Descriptive statistics

Standard deviation33.75833025
Coefficient of variation (CV)0.6323351946
Kurtosis-0.6933027457
Mean53.38676471
Median Absolute Deviation (MAD)21
Skewness-0.1804894576
Sum36303
Variance1139.624861
MonotonicityNot monotonic
2022-12-16T17:32:12.290654image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0134
 
15.3%
6814
 
1.6%
5914
 
1.6%
7513
 
1.5%
6113
 
1.5%
6913
 
1.5%
7212
 
1.4%
5612
 
1.4%
7412
 
1.4%
6612
 
1.4%
Other values (94)431
49.1%
(Missing)198
22.6%
ValueCountFrequency (%)
0134
15.3%
181
 
0.1%
203
 
0.3%
211
 
0.1%
222
 
0.2%
ValueCountFrequency (%)
1391
0.1%
1361
0.1%
1311
0.1%
1301
0.1%
1291
0.1%

QI
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing254
Missing (%)28.9%
Memory size7.0 KiB
N
596 
S
 
28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N596
67.9%
S28
 
3.2%
(Missing)254
28.9%

Qd_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)53.3%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean11.6
Minimum5
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:12.425229image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.5
Q110
median11
Q313
95-th percentile15.6
Maximum17
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.746426249
Coefficient of variation (CV)0.2367608836
Kurtosis1.926520449
Mean11.6
Median Absolute Deviation (MAD)1
Skewness-0.3513784378
Sum174
Variance7.542857143
MonotonicityNot monotonic
2022-12-16T17:32:12.532097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
104
 
0.5%
113
 
0.3%
132
 
0.2%
122
 
0.2%
51
 
0.1%
141
 
0.1%
171
 
0.1%
151
 
0.1%
(Missing)863
98.3%
ValueCountFrequency (%)
51
 
0.1%
104
0.5%
113
0.3%
122
0.2%
132
0.2%
ValueCountFrequency (%)
171
0.1%
151
0.1%
141
0.1%
132
0.2%
122
0.2%

Quais_alterações_genéticas
Categorical

HIGH CARDINALITY
MISSING

Distinct118
Distinct (%)96.7%
Missing756
Missing (%)86.1%
Memory size7.0 KiB
KCNQ3-mutation
 
3
CNV Loss 3q11.2
 
2
6q26 loss mat Park2
 
2
amplificação Xp26.1(localização 129440317- 129510697 pb) que engloba o gene SLC25A14. O gene SLC25A14 codifica para um transportador mitocondrial cuja disfunção poderá levar a doença mitocondrial Classe I. amplificação (classe IV) no cromossoma 16p11.2 (localização 34482042- 34701983 pb) que engloba o gene LOC283914. Esta alteração não engloba a região crítica associada a síndrome de microdeleção e microduplicação 16p11.2 (no genoma de referência GRCh37/hg19)
 
1
arr(hg19)2p11.2(86,289,130-86,509,326)x3; 10p11.21(34,835,589-35,154,914)x3;15q13.2(30,653,877-31,077,833)x1._x000B_REEP1; PARD3; CHRFAM7A classe II mat
 
1
Other values (113)
113 

Unique

Unique115 ?
Unique (%)94.3%

Sample

1st rowCNV rec 3 FGS
2nd rowKCNQ3-mutation
3rd row6q26 loss mat Park2_x000B_
4th rowCNV Gain 5q23.1
5th rowCNV Gain 2p16.3 NRXN1 exonic

Common Values

ValueCountFrequency (%)
KCNQ3-mutation 3
 
0.3%
CNV Loss 3q11.22
 
0.2%
6q26 loss mat Park22
 
0.2%
amplificação Xp26.1(localização 129440317- 129510697 pb) que engloba o gene SLC25A14. O gene SLC25A14 codifica para um transportador mitocondrial cuja disfunção poderá levar a doença mitocondrial Classe I. amplificação (classe IV) no cromossoma 16p11.2 (localização 34482042- 34701983 pb) que engloba o gene LOC283914. Esta alteração não engloba a região crítica associada a síndrome de microdeleção e microduplicação 16p11.2 (no genoma de referência GRCh37/hg19)1
 
0.1%
arr(hg19)2p11.2(86,289,130-86,509,326)x3; 10p11.21(34,835,589-35,154,914)x3;15q13.2(30,653,877-31,077,833)x1._x000B_REEP1; PARD3; CHRFAM7A classe II mat1
 
0.1%
22q12.3x3,33,527,053-33,852,735,325kb, e gene, 1OMIM morbid map - 603590-LARGE,II1
 
0.1%
3q26.31q26.32x1,175,105,979-175,745,370, 339kb, 3 genes NAAALADL2-608806,II1
 
0.1%
16 p11.2 (34482042-347277349)x3, locus gene LOC283914- alterações nesta região estão associadas a S microdeleção e microduplicação 16p11.2-p12.2. interpretação não conclusiva._x000B_5q13.2 (69426248-70613301)x1, engloba SMN1 e SMN2.SMN1em homozigotia está associado a atrofia espinhal anterior _x000B_1
 
0.1%
13q21.2x1,60,524,322-60,706,32413,182kb,geneDIAPH3,II ; xq21.2q21.31,85,923,471-86,257,677,334kb,DACH2, II; 16p13.3,7,017,522-7,046,219,28kb,gene RBFOX1-A2BP1,III1
 
0.1%
arr(h19)21q21.1(18,758,577-19,106,7709X3, 349kB, 3 GENES, 2 omim:602621-cxadr,605674-btg31
 
0.1%
Other values (108)108
 
12.3%
(Missing)756
86.1%

Quais_terapias
Categorical

HIGH CARDINALITY
MISSING

Distinct157
Distinct (%)33.4%
Missing408
Missing (%)46.5%
Memory size7.0 KiB
Terapia da Fala
105 
Terapia da Fala_x001D_Terapia Ocupacional
64 
Psicologia
53 
Terapia da Fala_x001D_Psicologia
 
19
Terapia da Fala_x001D_Terapia Ocupacional_x001D_Psicologia
 
16
Other values (152)
213 

Unique

Unique123 ?
Unique (%)26.2%

Sample

1st rowTerapia da Fala_x001D_Terapia Ocupacional_x001D_Natação
2nd rowHipoterapia
3rd rowPsicologia
4th rowTerapia Ocupacional_x001D_Terapia da Fala_x001D_Hipoterapia_x001D_Hidroterapia
5th rowTerapia da Fala_x001D_Terapia Ocupacional_x001D_Psicologia_x001D_Natação

Common Values

ValueCountFrequency (%)
Terapia da Fala105
 
12.0%
Terapia da Fala_x001D_Terapia Ocupacional64
 
7.3%
Psicologia53
 
6.0%
Terapia da Fala_x001D_Psicologia19
 
2.2%
Terapia da Fala_x001D_Terapia Ocupacional_x001D_Psicologia16
 
1.8%
Terapia da Fala_x001D_Psicomotricidade7
 
0.8%
Terapia Ocupacional7
 
0.8%
Terapia da Fala_x001D_Psicologia_x001D_Terapia Ocupacional6
 
0.7%
Terapia Ocupacional_x001D_Terapia da Fala4
 
0.5%
Terapia da Fala_x001D_Terapia Ocupacional_x001D_Psicomotricidade4
 
0.5%
Other values (147)185
21.1%
(Missing)408
46.5%

RMN_resultado
Categorical

HIGH CARDINALITY
MISSING

Distinct52
Distinct (%)21.8%
Missing640
Missing (%)72.9%
Memory size7.0 KiB
Normal
169 
Normal_x001D_espectroscopia-N
 
11
alterado_x001D_Atrofia
 
5
Atraso na mielinização
 
4
espectroscopia-N_x001D_Normal
 
2
Other values (47)
47 

Unique

Unique47 ?
Unique (%)19.7%

Sample

1st rowNormal
2nd rowNormal
3rd rowNormal
4th rowalterado_x001D_Atrofia
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal169
 
19.2%
Normal_x001D_espectroscopia-N11
 
1.3%
alterado_x001D_Atrofia5
 
0.6%
Atraso na mielinização4
 
0.5%
espectroscopia-N_x001D_Normal2
 
0.2%
Normal_x001D_16/2/20121
 
0.1%
8M - Normal1
 
0.1%
alterado_x001D_Megacisterna magna(variante normal)1
 
0.1%
Normal_x001D_espetroscopia -N1
 
0.1%
Normal_x001D_espectroscopia -N1
 
0.1%
Other values (42)42
 
4.8%
(Missing)640
72.9%

Race
Categorical

Distinct3
Distinct (%)0.3%
Missing6
Missing (%)0.7%
Memory size7.0 KiB
White
853 
African American
 
18
Asian
 
1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowWhite
2nd rowWhite
3rd rowWhite
4th rowWhite
5th rowWhite

Common Values

ValueCountFrequency (%)
White853
97.2%
African American18
 
2.1%
Asian1
 
0.1%
(Missing)6
 
0.7%

Reav_Griffiths
Categorical

MISSING

Distinct2
Distinct (%)0.6%
Missing569
Missing (%)64.8%
Memory size7.0 KiB
S
276 
N
33 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowS
3rd rowS
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
S276
31.4%
N33
 
3.8%
(Missing)569
64.8%

Reav_WISCIII
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing876
Missing (%)99.8%
Memory size7.0 KiB
S

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS

Common Values

ValueCountFrequency (%)
S2
 
0.2%
(Missing)876
99.8%

Região
Categorical

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Centro - Continente
483 
Lisboa v Tejo - Sul - Continente
168 
Norte - Continente
147 
Alentejo - Sul - Continente
 
32
Açores
 
27
Other values (2)
 
21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAçores
2nd rowNorte - Continente
3rd rowNorte - Continente
4th rowCentro - Continente
5th rowCentro - Continente

Common Values

ValueCountFrequency (%)
Centro - Continente483
55.0%
Lisboa v Tejo - Sul - Continente168
 
19.1%
Norte - Continente147
 
16.7%
Alentejo - Sul - Continente32
 
3.6%
Açores27
 
3.1%
Algarve - Sul - Continente16
 
1.8%
Madeira5
 
0.6%

PMD_Regression
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing54
Missing (%)6.2%
Memory size7.0 KiB
N
778 
S
 
46

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N778
88.6%
S46
 
5.2%
(Missing)54
 
6.2%
Distinct24
Distinct (%)42.1%
Missing821
Missing (%)93.5%
Memory size7.0 KiB
Não
20 
não
24
24_x001D_R linguagem_x001D_R interacção social
 
2
24_x001D_R linguagem
 
2
Other values (19)
20 

Unique

Unique18 ?
Unique (%)31.6%

Sample

1st row _x001D_
2nd row2A
3rd row24_x001D_R linguagem_x001D_R interacção social
4th row1A_x001D_Perdeu imitação_x001D_R interacção social
5th row24

Common Values

ValueCountFrequency (%)
Não20
 
2.3%
não7
 
0.8%
246
 
0.7%
24_x001D_R linguagem_x001D_R interacção social2
 
0.2%
24_x001D_R linguagem2
 
0.2%
182
 
0.2%
_x001D_ 1
 
0.1%
18_x001D_epiplepsia1
 
0.1%
201
 
0.1%
221
 
0.1%
Other values (14)14
 
1.6%
(Missing)821
93.5%

Regressão_Ling_idade
Categorical

MISSING

Distinct38
Distinct (%)18.1%
Missing668
Missing (%)76.1%
Memory size7.0 KiB
Não
97 
24
40 
18
14 
36
10 
sim_x001D_Perda de palavras
 
8
Other values (33)
41 

Unique

Unique26 ?
Unique (%)12.4%

Sample

1st row36
2nd row24
3rd row24
4th row24
5th row24

Common Values

ValueCountFrequency (%)
Não97
 
11.0%
2440
 
4.6%
1814
 
1.6%
3610
 
1.1%
sim_x001D_Perda de palavras8
 
0.9%
123
 
0.3%
perdeu mais que 5 palavras2
 
0.2%
Perdeu palavras2
 
0.2%
152
 
0.2%
Perda de palavras2
 
0.2%
Other values (28)30
 
3.4%
(Missing)668
76.1%

Language_Regr
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing51
Missing (%)5.8%
Memory size7.0 KiB
N
721 
S
106 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N721
82.1%
S106
 
12.1%
(Missing)51
 
5.8%

Saúde_Geral
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing58
Missing (%)6.6%
Memory size7.0 KiB
Nor.
795 
Pat.
 
25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNor.
2nd rowNor.
3rd rowNor.
4th rowPat.
5th rowNor.

Common Values

ValueCountFrequency (%)
Nor.795
90.5%
Pat.25
 
2.8%
(Missing)58
 
6.6%

Sem_WISCIII
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)8.4%
Missing652
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean9.646017699
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:12.651999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q312
95-th percentile16.75
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.118080144
Coefficient of variation (CV)0.4269202351
Kurtosis-0.3472055854
Mean9.646017699
Median Absolute Deviation (MAD)3
Skewness0.005269946463
Sum2180
Variance16.95858407
MonotonicityNot monotonic
2022-12-16T17:32:13.267023image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1031
 
3.5%
1122
 
2.5%
821
 
2.4%
919
 
2.2%
616
 
1.8%
1215
 
1.7%
714
 
1.6%
1313
 
1.5%
1411
 
1.3%
1611
 
1.3%
Other values (9)53
 
6.0%
(Missing)652
74.3%
ValueCountFrequency (%)
18
0.9%
22
 
0.2%
310
1.1%
45
0.6%
510
1.1%
ValueCountFrequency (%)
192
 
0.2%
186
0.7%
174
 
0.5%
1611
1.3%
156
0.7%

Sem_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)50.0%
Missing864
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean10
Minimum6
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:13.387128image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q17.5
median10.5
Q312.5
95-th percentile13.35
Maximum14
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.745625892
Coefficient of variation (CV)0.2745625892
Kurtosis-1.304134641
Mean10
Median Absolute Deviation (MAD)2.5
Skewness-0.1560924341
Sum140
Variance7.538461538
MonotonicityNot monotonic
2022-12-16T17:32:13.494240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
133
 
0.3%
113
 
0.3%
62
 
0.2%
72
 
0.2%
92
 
0.2%
141
 
0.1%
101
 
0.1%
(Missing)864
98.4%
ValueCountFrequency (%)
62
0.2%
72
0.2%
92
0.2%
101
 
0.1%
113
0.3%
ValueCountFrequency (%)
141
 
0.1%
133
0.3%
113
0.3%
101
 
0.1%
92
0.2%

Sentar
Categorical

MISSING

Distinct30
Distinct (%)5.6%
Missing346
Missing (%)39.4%
Memory size7.0 KiB
6
192 
7
131 
8
70 
9
47 
10
22 
Other values (25)
70 

Unique

Unique17 ?
Unique (%)3.2%

Sample

1st row8
2nd row7
3rd row6m
4th row24M
5th row10

Common Values

ValueCountFrequency (%)
6192
21.9%
7131
 
14.9%
870
 
8.0%
947
 
5.4%
1022
 
2.5%
1219
 
2.2%
59
 
1.0%
?7
 
0.8%
6M5
 
0.6%
44
 
0.5%
Other values (20)26
 
3.0%
(Missing)346
39.4%

Gender
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
M
765 
F
113 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowM
3rd rowM
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
M765
87.1%
F113
 
12.9%

Sintomas
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing878
Missing (%)100.0%
Memory size7.0 KiB

TAC_resultado
Categorical

MISSING

Distinct13
Distinct (%)15.3%
Missing793
Missing (%)90.3%
Memory size7.0 KiB
Normal
68 
Alterado_x001D_Atrofia
 
3
Atrofia
 
3
Alterado
 
2
Atrofia cortical
 
1
Other values (8)

Unique

Unique9 ?
Unique (%)10.6%

Sample

1st rowAlterado_x001D_Atrofia
2nd rowNormal
3rd rowNormal
4th rowNormal
5th rowNormal

Common Values

ValueCountFrequency (%)
Normal68
 
7.7%
Alterado_x001D_Atrofia3
 
0.3%
Atrofia3
 
0.3%
Alterado2
 
0.2%
Atrofia cortical1
 
0.1%
Alterado_x001D_quisto septo pelucido vergae1
 
0.1%
1
 
0.1%
Normal_x001D_Atrofia1
 
0.1%
Alterado_x001D_Suspeita de aumento do IV ventriculo1
 
0.1%
Alterado_x001D_atrofia subcortical1
 
0.1%
Other values (3)3
 
0.3%
(Missing)793
90.3%

TA_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)87.5%
Missing870
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean10.375
Minimum7
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:13.615401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.35
Q18.75
median10.5
Q311.25
95-th percentile13.95
Maximum15
Range8
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.503568881
Coefficient of variation (CV)0.241307844
Kurtosis0.5980860545
Mean10.375
Median Absolute Deviation (MAD)1.5
Skewness0.5974377246
Sum83
Variance6.267857143
MonotonicityNot monotonic
2022-12-16T17:32:13.729157image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
112
 
0.2%
151
 
0.1%
101
 
0.1%
81
 
0.1%
91
 
0.1%
121
 
0.1%
71
 
0.1%
(Missing)870
99.1%
ValueCountFrequency (%)
71
0.1%
81
0.1%
91
0.1%
101
0.1%
112
0.2%
ValueCountFrequency (%)
151
0.1%
121
0.1%
112
0.2%
101
0.1%
91
0.1%

Tabaco
Categorical

MISSING

Distinct2
Distinct (%)0.2%
Missing32
Missing (%)3.6%
Memory size7.0 KiB
N
818 
S
 
28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowS
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N818
93.2%
S28
 
3.2%
(Missing)32
 
3.6%

Terapias
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing234
Missing (%)26.7%
Memory size7.0 KiB
S
469 
N
175 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowN
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
S469
53.4%
N175
 
19.9%
(Missing)234
26.7%

Tios_com_psicopatologia_e_ou_p_DPM
Categorical

HIGH CARDINALITY
MISSING

Distinct85
Distinct (%)50.9%
Missing711
Missing (%)81.0%
Memory size7.0 KiB
Não
77 
Sim_x001D_Tia lado materno P desenv
 
2
Lado paterno P desenvolvimento
 
2
Tia materna depressão
 
2
Tio materno atraso linguagem
 
2
Other values (80)
82 

Unique

Unique78 ?
Unique (%)46.7%

Sample

1st rowSim_x001D_Lado paterno P desenvolvimento_x001D_Lado materno Psicopatologia
2nd rowNão
3rd rowNão
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não77
 
8.8%
Sim_x001D_Tia lado materno P desenv2
 
0.2%
Lado paterno P desenvolvimento2
 
0.2%
Tia materna depressão2
 
0.2%
Tio materno atraso linguagem2
 
0.2%
Tio materno esquizo_x001D_Sim2
 
0.2%
Sim_x001D_Lado materno Psicopatologia2
 
0.2%
Tios com défice cognitivo (tia e tio, este mais grave)1
 
0.1%
Tia avó com P. Desenvolvimento1
 
0.1%
Tia materno esquizofrenia?1
 
0.1%
Other values (75)75
 
8.5%
(Missing)711
81.0%

Tipo_de_apoio
Categorical

MISSING

Distinct18
Distinct (%)3.0%
Missing279
Missing (%)31.8%
Memory size7.0 KiB
Medidas Educativas 3/2008
276 
Educação especial
83 
SNIPI
77 
Unidade de Ensino Estruturado
71 
Medidas Educativas 54/2018
53 
Other values (13)
39 

Unique

Unique8 ?
Unique (%)1.3%

Sample

1st rowUnidade de Ensino Estruturado
2nd rowMedidas Educativas 3/2008
3rd rowEducação especial
4th rowApoio Educativo
5th rowEducação especial

Common Values

ValueCountFrequency (%)
Medidas Educativas 3/2008276
31.4%
Educação especial83
 
9.5%
SNIPI77
 
8.8%
Unidade de Ensino Estruturado71
 
8.1%
Medidas Educativas 54/201853
 
6.0%
Apoio Educativo12
 
1.4%
Sala TEACCH6
 
0.7%
Intervenção Precoce5
 
0.6%
Apoio pedagógico acrescido4
 
0.5%
Apoio pedagógico personalizado4
 
0.5%
Other values (8)8
 
0.9%
(Missing)279
31.8%

Vineland
Categorical

MISSING

Distinct2
Distinct (%)40.0%
Missing873
Missing (%)99.4%
Memory size7.0 KiB
S
N

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st rowS
2nd rowS
3rd rowS
4th rowS
5th rowN

Common Values

ValueCountFrequency (%)
S4
 
0.5%
N1
 
0.1%
(Missing)873
99.4%

Vineland_abr_Autonomia_DP-P
Real number (ℝ≥0)

MISSING

Distinct122
Distinct (%)17.3%
Missing173
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean63.78297872
Minimum10
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:13.886248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q139
median57
Q383
95-th percentile132
Maximum180
Range170
Interquartile range (IQR)44

Descriptive statistics

Standard deviation34.25729426
Coefficient of variation (CV)0.5370914771
Kurtosis0.2215573029
Mean63.78297872
Median Absolute Deviation (MAD)21
Skewness0.895497643
Sum44967
Variance1173.56221
MonotonicityNot monotonic
2022-12-16T17:32:14.038290image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5919
 
2.2%
6217
 
1.9%
3917
 
1.9%
4916
 
1.8%
3516
 
1.8%
1916
 
1.8%
4115
 
1.7%
2815
 
1.7%
4415
 
1.7%
4314
 
1.6%
Other values (112)545
62.1%
(Missing)173
 
19.7%
ValueCountFrequency (%)
101
 
0.1%
111
 
0.1%
121
 
0.1%
131
 
0.1%
144
0.5%
ValueCountFrequency (%)
1801
 
0.1%
1741
 
0.1%
1691
 
0.1%
1681
 
0.1%
1623
0.3%

Vineland_abr_Socialização_DP-P
Real number (ℝ≥0)

MISSING

Distinct108
Distinct (%)15.3%
Missing173
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean57.08879433
Minimum5
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:14.207229image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q130
median48
Q375
95-th percentile135
Maximum227
Range222
Interquartile range (IQR)45

Descriptive statistics

Standard deviation37.72679904
Coefficient of variation (CV)0.6608442074
Kurtosis1.359441055
Mean57.08879433
Median Absolute Deviation (MAD)21
Skewness1.213280368
Sum40247.6
Variance1423.311366
MonotonicityNot monotonic
2022-12-16T17:32:14.357194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4016
 
1.8%
4416
 
1.8%
1816
 
1.8%
4816
 
1.8%
3615
 
1.7%
5314
 
1.6%
4514
 
1.6%
2714
 
1.6%
8813
 
1.5%
3413
 
1.5%
Other values (98)558
63.6%
(Missing)173
 
19.7%
ValueCountFrequency (%)
51
 
0.1%
72
 
0.2%
82
 
0.2%
93
0.3%
107
0.8%
ValueCountFrequency (%)
2271
0.1%
2011
0.1%
1922
0.2%
1861
0.1%
1801
0.1%
Distinct18
Distinct (%)8.3%
Missing662
Missing (%)75.4%
Memory size7.0 KiB
Não
178 
Sim_x001D_esteriotipias_x001D_Desajustado
 
8
Sim_x001D_Esteriotipias
 
5
Sim_x001D_esteriotipias
 
4
Sim_x001D_Ansiedade
 
3
Other values (13)
18 

Unique

Unique8 ?
Unique (%)3.7%

Sample

1st rowNão
2nd rowesteriotipias_x001D_Desajustado
3rd rowSim_x001D_esteriotipias
4th rowNão
5th rowNão

Common Values

ValueCountFrequency (%)
Não178
 
20.3%
Sim_x001D_esteriotipias_x001D_Desajustado8
 
0.9%
Sim_x001D_Esteriotipias5
 
0.6%
Sim_x001D_esteriotipias4
 
0.5%
Sim_x001D_Ansiedade3
 
0.3%
Sim_x001D_Esteriotipias_x001D_Desajustado2
 
0.2%
Sim_x001D_Desajustado_x001D_esteriotipias2
 
0.2%
Sim_x001D_Desajustado2
 
0.2%
Desajustado2
 
0.2%
Sim_x001D_Agressividade2
 
0.2%
Other values (8)8
 
0.9%
(Missing)662
75.4%

Vineland_abr_comunicação_DP-_P
Real number (ℝ≥0)

MISSING

Distinct113
Distinct (%)16.1%
Missing174
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean62.03210227
Minimum8
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:14.516743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q125
median50
Q389
95-th percentile150
Maximum213
Range205
Interquartile range (IQR)64

Descriptive statistics

Standard deviation43.89696384
Coefficient of variation (CV)0.7076491403
Kurtosis0.2227281719
Mean62.03210227
Median Absolute Deviation (MAD)30
Skewness0.9489255877
Sum43670.6
Variance1926.943435
MonotonicityNot monotonic
2022-12-16T17:32:14.666705image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1637
 
4.2%
1823
 
2.6%
15019
 
2.2%
1717
 
1.9%
4817
 
1.9%
1416
 
1.8%
1914
 
1.6%
5012
 
1.4%
2112
 
1.4%
3812
 
1.4%
Other values (103)525
59.8%
(Missing)174
 
19.8%
ValueCountFrequency (%)
82
 
0.2%
92
 
0.2%
103
 
0.3%
114
 
0.5%
1210
1.1%
ValueCountFrequency (%)
2132
 
0.2%
1983
 
0.3%
1893
 
0.3%
1772
 
0.2%
1688
0.9%

Vineland_abr_global_DP-P
Real number (ℝ≥0)

MISSING
SKEWED

Distinct152
Distinct (%)21.6%
Missing175
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean252.336771
Minimum12
Maximum134174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:14.818748image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19
Q134
median52
Q383
95-th percentile133
Maximum134174
Range134162
Interquartile range (IQR)49

Descriptive statistics

Standard deviation5058.278447
Coefficient of variation (CV)20.04574453
Kurtosis702.9262133
Mean252.336771
Median Absolute Deviation (MAD)22
Skewness26.51206329
Sum177392.75
Variance25586180.85
MonotonicityNot monotonic
2022-12-16T17:32:14.985328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2716
 
1.8%
4514
 
1.6%
5114
 
1.6%
2214
 
1.6%
4014
 
1.6%
4214
 
1.6%
3213
 
1.5%
3613
 
1.5%
3513
 
1.5%
1912
 
1.4%
Other values (142)566
64.5%
(Missing)175
 
19.9%
ValueCountFrequency (%)
123
0.3%
131
 
0.1%
145
0.6%
151
 
0.1%
164
0.5%
ValueCountFrequency (%)
1341741
0.1%
1831
0.1%
1801
0.1%
1771
0.1%
1761
0.1%

Vineland_abr_motricidade_DP-P
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)19.7%
Missing675
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean42.73399015
Minimum18
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:15.144570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile24
Q131.5
median39
Q355
95-th percentile69
Maximum72
Range54
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14.058512
Coefficient of variation (CV)0.3289772838
Kurtosis-0.9350059971
Mean42.73399015
Median Absolute Deviation (MAD)10
Skewness0.3912390029
Sum8675
Variance197.6417597
MonotonicityNot monotonic
2022-12-16T17:32:15.292554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3417
 
1.9%
5613
 
1.5%
2912
 
1.4%
4610
 
1.1%
399
 
1.0%
698
 
0.9%
478
 
0.9%
367
 
0.8%
517
 
0.8%
266
 
0.7%
Other values (30)106
 
12.1%
(Missing)675
76.9%
ValueCountFrequency (%)
181
0.1%
191
0.1%
201
0.1%
212
0.2%
222
0.2%
ValueCountFrequency (%)
722
 
0.2%
713
 
0.3%
698
0.9%
656
0.7%
636
0.7%

Vineland_ext_autonomia_DP-P
Real number (ℝ)

MISSING

Distinct2
Distinct (%)100.0%
Missing876
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean32
Minimum-3
Maximum67
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.0 KiB
2022-12-16T17:32:15.413019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile0.5
Q114.5
median32
Q349.5
95-th percentile63.5
Maximum67
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation49.49747468
Coefficient of variation (CV)1.546796084
Kurtosisnan
Mean32
Median Absolute Deviation (MAD)35
Skewnessnan
Sum64
Variance2450
MonotonicityStrictly decreasing
2022-12-16T17:32:15.504263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
671
 
0.1%
-31
 
0.1%
(Missing)876
99.8%
ValueCountFrequency (%)
-31
0.1%
671
0.1%
ValueCountFrequency (%)
671
0.1%
-31
0.1%
Distinct3
Distinct (%)100.0%
Missing875
Missing (%)99.7%
Memory size7.0 KiB
Sim_x001D_ Isolamento
Sim_x001D_Isolamento
Não

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowSim_x001D_ Isolamento
2nd rowSim_x001D_Isolamento
3rd rowNão

Common Values

ValueCountFrequency (%)
Sim_x001D_ Isolamento1
 
0.1%
Sim_x001D_Isolamento1
 
0.1%
Não1
 
0.1%
(Missing)875
99.7%

Vineland_ext_comunicação_DP-P
Real number (ℝ)

MISSING

Distinct2
Distinct (%)100.0%
Missing876
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum-3
Maximum60
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.0 KiB
2022-12-16T17:32:15.609914image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile0.15
Q112.75
median28.5
Q344.25
95-th percentile56.85
Maximum60
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation44.54772721
Coefficient of variation (CV)1.563078148
Kurtosisnan
Mean28.5
Median Absolute Deviation (MAD)31.5
Skewnessnan
Sum57
Variance1984.5
MonotonicityStrictly decreasing
2022-12-16T17:32:15.697868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
601
 
0.1%
-31
 
0.1%
(Missing)876
99.8%
ValueCountFrequency (%)
-31
0.1%
601
0.1%
ValueCountFrequency (%)
601
0.1%
-31
0.1%

Vineland_ext_global_DP-P
Real number (ℝ)

MISSING

Distinct2
Distinct (%)100.0%
Missing876
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean25
Minimum-3
Maximum53
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.0 KiB
2022-12-16T17:32:15.794116image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-0.2
Q111
median25
Q339
95-th percentile50.2
Maximum53
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation39.59797975
Coefficient of variation (CV)1.58391919
Kurtosisnan
Mean25
Median Absolute Deviation (MAD)28
Skewnessnan
Sum50
Variance1568
MonotonicityStrictly decreasing
2022-12-16T17:32:15.877321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
531
 
0.1%
-31
 
0.1%
(Missing)876
99.8%
ValueCountFrequency (%)
-31
0.1%
531
0.1%
ValueCountFrequency (%)
531
0.1%
-31
0.1%

Vineland_ext_socialização_DP-P
Real number (ℝ)

MISSING

Distinct3
Distinct (%)100.0%
Missing875
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean13
Minimum-2
Maximum35
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.0 KiB
2022-12-16T17:32:15.973280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-1.2
Q12
median6
Q320.5
95-th percentile32.1
Maximum35
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation19.46792233
Coefficient of variation (CV)1.497532487
Kurtosisnan
Mean13
Median Absolute Deviation (MAD)8
Skewness1.408852992
Sum39
Variance379
MonotonicityStrictly decreasing
2022-12-16T17:32:16.069873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
351
 
0.1%
61
 
0.1%
-21
 
0.1%
(Missing)875
99.7%
ValueCountFrequency (%)
-21
0.1%
61
0.1%
351
0.1%
ValueCountFrequency (%)
351
0.1%
61
0.1%
-21
0.1%

Vision
Categorical

MISSING

Distinct49
Distinct (%)6.2%
Missing87
Missing (%)9.9%
Memory size7.0 KiB
Normal C
558 
Normal-Oftal
79 
Normal
57 
Anormal/of_x001D_Estrabismo
 
13
Anormal/of
 
13
Other values (44)
71 

Unique

Unique35 ?
Unique (%)4.4%

Sample

1st rowNormal C
2nd rowNormal C
3rd rowNormal C
4th rowNormal C
5th rowNormal-Oftal

Common Values

ValueCountFrequency (%)
Normal C558
63.6%
Normal-Oftal79
 
9.0%
Normal57
 
6.5%
Anormal/of_x001D_Estrabismo13
 
1.5%
Anormal/of13
 
1.5%
Normal - Oftal7
 
0.8%
Anormal/of_x001D_Miopia7
 
0.8%
Estrabismo_x001D_Anormal/of7
 
0.8%
Anormal/of_x001D_Astigmatismo_x001D_Miopia5
 
0.6%
Estrabismo2
 
0.2%
Other values (39)43
 
4.9%
(Missing)87
 
9.9%

Voc_WISCIII
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.6%
Missing653
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean7.484444444
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:16.188396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q310
95-th percentile13
Maximum18
Range17
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.779760217
Coefficient of variation (CV)0.5050154685
Kurtosis-0.6426287195
Mean7.484444444
Median Absolute Deviation (MAD)3
Skewness0.01588764793
Sum1684
Variance14.2865873
MonotonicityNot monotonic
2022-12-16T17:32:16.295458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
929
 
3.3%
1028
 
3.2%
721
 
2.4%
119
 
2.2%
419
 
2.2%
617
 
1.9%
816
 
1.8%
314
 
1.6%
1212
 
1.4%
511
 
1.3%
Other values (7)39
 
4.4%
(Missing)653
74.4%
ValueCountFrequency (%)
119
2.2%
27
 
0.8%
314
1.6%
419
2.2%
511
1.3%
ValueCountFrequency (%)
181
 
0.1%
161
 
0.1%
155
0.6%
144
 
0.5%
1310
1.1%

Voc_WPPSIR
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)60.0%
Missing863
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean7.466666667
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:16.406496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q16.5
median7
Q39.5
95-th percentile12.3
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.044120015
Coefficient of variation (CV)0.4076946449
Kurtosis0.5597536359
Mean7.466666667
Median Absolute Deviation (MAD)2
Skewness-0.09393567178
Sum112
Variance9.266666667
MonotonicityNot monotonic
2022-12-16T17:32:16.512114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
76
 
0.7%
102
 
0.2%
131
 
0.1%
61
 
0.1%
11
 
0.1%
51
 
0.1%
91
 
0.1%
41
 
0.1%
121
 
0.1%
(Missing)863
98.3%
ValueCountFrequency (%)
11
 
0.1%
41
 
0.1%
51
 
0.1%
61
 
0.1%
76
0.7%
ValueCountFrequency (%)
131
 
0.1%
121
 
0.1%
102
 
0.2%
91
 
0.1%
76
0.7%

WISCIII
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing234
Missing (%)26.7%
Memory size7.0 KiB
N
381 
S
263 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N381
43.4%
S263
30.0%
(Missing)234
26.7%

WISCIIIG
Real number (ℝ≥0)

MISSING

Distinct77
Distinct (%)30.3%
Missing624
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean84.76771654
Minimum40
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:16.653190image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile54
Q167
median85
Q3101
95-th percentile117.35
Maximum143
Range103
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.58677722
Coefficient of variation (CV)0.2428610568
Kurtosis-0.5820922121
Mean84.76771654
Median Absolute Deviation (MAD)17
Skewness0.2171164648
Sum21531
Variance423.8153963
MonotonicityNot monotonic
2022-12-16T17:32:16.813558image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
679
 
1.0%
658
 
0.9%
858
 
0.9%
1027
 
0.8%
897
 
0.8%
647
 
0.8%
757
 
0.8%
937
 
0.8%
996
 
0.7%
726
 
0.7%
Other values (67)182
 
20.7%
(Missing)624
71.1%
ValueCountFrequency (%)
401
 
0.1%
411
 
0.1%
471
 
0.1%
501
 
0.1%
513
0.3%
ValueCountFrequency (%)
1431
0.1%
1421
0.1%
1321
0.1%
1311
0.1%
1291
0.1%

WISCIIIR
Real number (ℝ≥0)

MISSING

Distinct66
Distinct (%)25.1%
Missing615
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean131.5627376
Minimum46
Maximum11287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:16.975337image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile58.1
Q174.5
median89
Q3103
95-th percentile124
Maximum11287
Range11241
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation690.7876484
Coefficient of variation (CV)5.250632974
Kurtosis262.5559545
Mean131.5627376
Median Absolute Deviation (MAD)14
Skewness16.19681906
Sum34601
Variance477187.5752
MonotonicityNot monotonic
2022-12-16T17:32:17.124505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7610
 
1.1%
959
 
1.0%
699
 
1.0%
929
 
1.0%
969
 
1.0%
779
 
1.0%
989
 
1.0%
878
 
0.9%
1068
 
0.9%
808
 
0.9%
Other values (56)175
 
19.9%
(Missing)615
70.0%
ValueCountFrequency (%)
461
 
0.1%
471
 
0.1%
511
 
0.1%
532
0.2%
544
0.5%
ValueCountFrequency (%)
112871
0.1%
1461
0.1%
1431
0.1%
1401
0.1%
1381
0.1%

WISCIIIV
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)26.7%
Missing623
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean84.85882353
Minimum46
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:17.280593image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile49.7
Q166
median87
Q3100
95-th percentile124
Maximum133
Range87
Interquartile range (IQR)34

Descriptive statistics

Standard deviation22.11698653
Coefficient of variation (CV)0.2606327263
Kurtosis-0.8520896396
Mean84.85882353
Median Absolute Deviation (MAD)18
Skewness0.09924790225
Sum21639
Variance489.1610931
MonotonicityNot monotonic
2022-12-16T17:32:17.423416image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8712
 
1.4%
9710
 
1.1%
929
 
1.0%
668
 
0.9%
677
 
0.8%
967
 
0.8%
1007
 
0.8%
617
 
0.8%
757
 
0.8%
467
 
0.8%
Other values (58)174
 
19.8%
(Missing)623
71.0%
ValueCountFrequency (%)
467
0.8%
472
 
0.2%
481
 
0.1%
493
0.3%
502
 
0.2%
ValueCountFrequency (%)
1331
 
0.1%
1321
 
0.1%
1312
0.2%
1301
 
0.1%
1273
0.3%

WISCIII_Data
Categorical

HIGH CARDINALITY
MISSING

Distinct248
Distinct (%)94.3%
Missing615
Missing (%)70.0%
Memory size7.0 KiB
2010-04-29
 
3
2012-07-05
 
3
2015-01-08
 
2
2016-06-28
 
2
2016-09-12
 
2
Other values (243)
251 

Unique

Unique235 ?
Unique (%)89.4%

Sample

1st row2004-02-03
2nd row2005-02-24
3rd row2007-03-22
4th row2005-02-02
5th row2008-11-27

Common Values

ValueCountFrequency (%)
2010-04-293
 
0.3%
2012-07-053
 
0.3%
2015-01-082
 
0.2%
2016-06-282
 
0.2%
2016-09-122
 
0.2%
2009-04-022
 
0.2%
2010-05-202
 
0.2%
2012-05-312
 
0.2%
2003-12-112
 
0.2%
2010-02-252
 
0.2%
Other values (238)241
 
27.4%
(Missing)615
70.0%

WISCIII_Pcv
Real number (ℝ≥0)

MISSING

Distinct45
Distinct (%)20.7%
Missing661
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean31.67557604
Minimum0.1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:17.572963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q12
median19
Q358
95-th percentile95
Maximum98
Range97.9
Interquartile range (IQR)56

Descriptive statistics

Standard deviation32.13234068
Coefficient of variation (CV)1.014420089
Kurtosis-0.8861457889
Mean31.67557604
Median Absolute Deviation (MAD)18.7
Skewness0.700455069
Sum6873.6
Variance1032.487317
MonotonicityNot monotonic
2022-12-16T17:32:17.722152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.114
 
1.6%
3012
 
1.4%
5810
 
1.1%
310
 
1.1%
0.38
 
0.9%
478
 
0.9%
48
 
0.9%
197
 
0.8%
27
 
0.8%
0.27
 
0.8%
Other values (35)126
 
14.4%
(Missing)661
75.3%
ValueCountFrequency (%)
0.114
1.6%
0.27
0.8%
0.38
0.9%
0.43
 
0.3%
0.54
 
0.5%
ValueCountFrequency (%)
981
 
0.1%
974
0.5%
962
 
0.2%
956
0.7%
941
 
0.1%

WISCIII_Pop
Real number (ℝ≥0)

MISSING

Distinct49
Distinct (%)21.8%
Missing653
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean41.05866667
Minimum0.1
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:17.874840image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.52
Q16
median34
Q368
95-th percentile97
Maximum99.9
Range99.8
Interquartile range (IQR)62

Descriptive statistics

Standard deviation33.84266153
Coefficient of variation (CV)0.8242513524
Kurtosis-1.36760444
Mean41.05866667
Median Absolute Deviation (MAD)30
Skewness0.3030994429
Sum9238.2
Variance1145.325739
MonotonicityNot monotonic
2022-12-16T17:32:18.029277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6513
 
1.5%
329
 
1.0%
879
 
1.0%
69
 
1.0%
48
 
0.9%
588
 
0.9%
218
 
0.9%
508
 
0.9%
188
 
0.9%
397
 
0.8%
Other values (39)138
 
15.7%
(Missing)653
74.4%
ValueCountFrequency (%)
0.15
0.6%
0.21
 
0.1%
0.32
 
0.2%
0.41
 
0.1%
0.53
0.3%
ValueCountFrequency (%)
99.91
 
0.1%
99.81
 
0.1%
99.72
 
0.2%
99.21
 
0.1%
996
0.7%

WISCIII_Pvp
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)13.4%
Missing684
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean24.92886598
Minimum0.1
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:18.170784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q13
median18
Q337
95-th percentile79
Maximum99.9
Range99.8
Interquartile range (IQR)34

Descriptive statistics

Standard deviation25.74532287
Coefficient of variation (CV)1.032751465
Kurtosis0.2643607338
Mean24.92886598
Median Absolute Deviation (MAD)15
Skewness1.119494864
Sum4836.2
Variance662.8216495
MonotonicityNot monotonic
2022-12-16T17:32:18.307844image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1820
 
2.3%
1416
 
1.8%
0.114
 
1.6%
2314
 
1.6%
3713
 
1.5%
3013
 
1.5%
313
 
1.5%
111
 
1.3%
1010
 
1.1%
48
 
0.9%
Other values (16)62
 
7.1%
(Missing)684
77.9%
ValueCountFrequency (%)
0.114
1.6%
0.21
 
0.1%
0.35
 
0.6%
0.77
0.8%
111
1.3%
ValueCountFrequency (%)
99.91
 
0.1%
99.31
 
0.1%
901
 
0.1%
873
0.3%
823
0.3%

WISCIIIcv
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)24.9%
Missing649
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean85.88646288
Minimum48
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:18.462867image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile52
Q168
median87
Q3103
95-th percentile124.6
Maximum132
Range84
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.65084254
Coefficient of variation (CV)0.2520867877
Kurtosis-0.9249135534
Mean85.88646288
Median Absolute Deviation (MAD)16
Skewness0.05258501872
Sum19668
Variance468.7589826
MonotonicityNot monotonic
2022-12-16T17:32:18.621449image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9213
 
1.5%
10311
 
1.3%
998
 
0.9%
748
 
0.9%
977
 
0.8%
877
 
0.8%
716
 
0.7%
596
 
0.7%
1256
 
0.7%
1026
 
0.7%
Other values (47)151
 
17.2%
(Missing)649
73.9%
ValueCountFrequency (%)
485
0.6%
491
 
0.1%
502
 
0.2%
511
 
0.1%
524
0.5%
ValueCountFrequency (%)
1321
 
0.1%
1292
 
0.2%
1281
 
0.1%
1262
 
0.2%
1256
0.7%

WISCIIIop
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)24.0%
Missing645
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean93.81545064
Minimum50
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:18.785526image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile61
Q177
median93
Q3107
95-th percentile129
Maximum145
Range95
Interquartile range (IQR)30

Descriptive statistics

Standard deviation20.81456142
Coefficient of variation (CV)0.2218670942
Kurtosis-0.5193046039
Mean93.81545064
Median Absolute Deviation (MAD)16
Skewness0.1515691824
Sum21859
Variance433.2459671
MonotonicityNot monotonic
2022-12-16T17:32:18.943862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10613
 
1.5%
7710
 
1.1%
1179
 
1.0%
939
 
1.0%
1008
 
0.9%
968
 
0.9%
1038
 
0.9%
888
 
0.9%
868
 
0.9%
727
 
0.8%
Other values (46)145
 
16.5%
(Missing)645
73.5%
ValueCountFrequency (%)
501
 
0.1%
511
 
0.1%
541
 
0.1%
553
0.3%
571
 
0.1%
ValueCountFrequency (%)
1451
 
0.1%
1431
 
0.1%
1422
 
0.2%
1361
 
0.1%
1356
0.7%

WISCIIIvp
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)15.1%
Missing673
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean83.89268293
Minimum50
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:19.090852image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile53.2
Q171
median86
Q395
95-th percentile112
Maximum147
Range97
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.97733309
Coefficient of variation (CV)0.2142896432
Kurtosis0.2361477894
Mean83.89268293
Median Absolute Deviation (MAD)12
Skewness0.2307880824
Sum17198
Variance323.184505
MonotonicityNot monotonic
2022-12-16T17:32:19.224743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8619
 
2.2%
8416
 
1.8%
8914
 
1.6%
9214
 
1.6%
9513
 
1.5%
7113
 
1.5%
8112
 
1.4%
6712
 
1.4%
749
 
1.0%
778
 
0.9%
Other values (21)75
 
8.5%
(Missing)673
76.7%
ValueCountFrequency (%)
504
0.5%
514
0.5%
533
0.3%
546
0.7%
572
 
0.2%
ValueCountFrequency (%)
1471
 
0.1%
1371
 
0.1%
1311
 
0.1%
1191
 
0.1%
1173
0.3%

WPPSI-R
Categorical

MISSING

Distinct2
Distinct (%)0.3%
Missing271
Missing (%)30.9%
Memory size7.0 KiB
N
579 
S
 
28

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N579
65.9%
S28
 
3.2%
(Missing)271
30.9%

WPPSI-R_QIec
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)92.0%
Missing853
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean92.08
Minimum54
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:19.356817image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile64
Q183
median91
Q3101
95-th percentile117.4
Maximum134
Range80
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.16113065
Coefficient of variation (CV)0.1972320879
Kurtosis0.2811465801
Mean92.08
Median Absolute Deviation (MAD)9
Skewness0.07130049137
Sum2302
Variance329.8266667
MonotonicityNot monotonic
2022-12-16T17:32:19.481339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
952
 
0.2%
912
 
0.2%
821
 
0.1%
981
 
0.1%
681
 
0.1%
1121
 
0.1%
901
 
0.1%
1061
 
0.1%
1151
 
0.1%
1081
 
0.1%
Other values (13)13
 
1.5%
(Missing)853
97.2%
ValueCountFrequency (%)
541
0.1%
631
0.1%
681
0.1%
721
0.1%
751
0.1%
ValueCountFrequency (%)
1341
0.1%
1181
0.1%
1151
0.1%
1121
0.1%
1081
0.1%

WPPSI-R_QIr
Real number (ℝ≥0)

MISSING

Distinct20
Distinct (%)80.0%
Missing853
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean98.84
Minimum55
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:19.618262image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile69.4
Q187
median96
Q3114
95-th percentile127.2
Maximum131
Range76
Interquartile range (IQR)27

Descriptive statistics

Standard deviation19.7033838
Coefficient of variation (CV)0.1993462546
Kurtosis-0.3590900661
Mean98.84
Median Absolute Deviation (MAD)16
Skewness-0.3802295257
Sum2471
Variance388.2233333
MonotonicityNot monotonic
2022-12-16T17:32:19.733845image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
965
 
0.6%
712
 
0.2%
1061
 
0.1%
1241
 
0.1%
1141
 
0.1%
1211
 
0.1%
551
 
0.1%
1041
 
0.1%
1151
 
0.1%
1001
 
0.1%
Other values (10)10
 
1.1%
(Missing)853
97.2%
ValueCountFrequency (%)
551
0.1%
691
0.1%
712
0.2%
791
0.1%
851
0.1%
ValueCountFrequency (%)
1311
0.1%
1281
0.1%
1241
0.1%
1211
0.1%
1171
0.1%

WPPSI-R_QIv
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)72.0%
Missing853
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean87.72
Minimum48
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:19.868521image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile55.2
Q172
median87
Q3103
95-th percentile121
Maximum125
Range77
Interquartile range (IQR)31

Descriptive statistics

Standard deviation19.73474094
Coefficient of variation (CV)0.2249742469
Kurtosis-0.2536174078
Mean87.72
Median Absolute Deviation (MAD)15
Skewness0.01338245245
Sum2193
Variance389.46
MonotonicityNot monotonic
2022-12-16T17:32:19.989134image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1033
 
0.3%
712
 
0.2%
872
 
0.2%
952
 
0.2%
812
 
0.2%
722
 
0.2%
801
 
0.1%
971
 
0.1%
531
 
0.1%
481
 
0.1%
Other values (8)8
 
0.9%
(Missing)853
97.2%
ValueCountFrequency (%)
481
0.1%
531
0.1%
641
0.1%
712
0.2%
722
0.2%
ValueCountFrequency (%)
1251
 
0.1%
1231
 
0.1%
1131
 
0.1%
1121
 
0.1%
1033
0.3%

WPPSIR_data
Categorical

MISSING

Distinct27
Distinct (%)100.0%
Missing851
Missing (%)96.9%
Memory size7.0 KiB
2004-09-21
 
1
2017-04-27
 
1
2017-03-01
 
1
2014-04-14
 
1
2018-06-25
 
1
Other values (22)
22 

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row2004-09-21
2nd row2004-06-23
3rd row2005-01-17
4th row2004-09-15
5th row2005-05-25

Common Values

ValueCountFrequency (%)
2004-09-211
 
0.1%
2017-04-271
 
0.1%
2017-03-011
 
0.1%
2014-04-141
 
0.1%
2018-06-251
 
0.1%
2014-01-151
 
0.1%
2016-05-101
 
0.1%
2010-03-251
 
0.1%
2008-03-061
 
0.1%
2008-06-051
 
0.1%
Other values (17)17
 
1.9%
(Missing)851
96.9%

nivel_autonomia_V
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)16.6%
Missing148
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean62.89452055
Minimum10
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2022-12-16T17:32:20.140870image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19
Q138
median57
Q382
95-th percentile131.1
Maximum180
Range170
Interquartile range (IQR)44

Descriptive statistics

Standard deviation33.96308167
Coefficient of variation (CV)0.5400006451
Kurtosis0.2656227164
Mean62.89452055
Median Absolute Deviation (MAD)21
Skewness0.8947151114
Sum45913
Variance1153.490916
MonotonicityNot monotonic
2022-12-16T17:32:20.293209image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5921
 
2.4%
1920
 
2.3%
6218
 
2.1%
3917
 
1.9%
4916
 
1.8%
4115
 
1.7%
3514
 
1.6%
2814
 
1.6%
4414
 
1.6%
6914
 
1.6%
Other values (111)567
64.6%
(Missing)148
 
16.9%
ValueCountFrequency (%)
101
 
0.1%
111
 
0.1%
121
 
0.1%
131
 
0.1%
145
0.6%
ValueCountFrequency (%)
1801
 
0.1%
1741
 
0.1%
1691
 
0.1%
1681
 
0.1%
1623
0.3%

verbal
Categorical

MISSING

Distinct2
Distinct (%)0.4%
Missing322
Missing (%)36.7%
Memory size7.0 KiB
No
383 
Yes
173 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No383
43.6%
Yes173
19.7%
(Missing)322
36.7%